Method and system for improving construction of regions of interest

Identifying, in scene images, regions of interest to be used for setting the camera and/or to process images from the camera, comprising: in response to detecting targets in obtained images, segmenting the images into portions, each of which has an associated relevance indication showing how relevant it is for that portion to be included as part of a region of interest; selecting a relevant portion based on the relevance indications and then updating the relevance indications associated with the other relevant portions based on the selected relevant portion; and determining a region of interest based on the most relevant portions indicated. Representations of relevant portions and corresponding relevance indications may be displayed. Objects may be classified based on position, size, distance, pose, speed. Segmentation may be based on target density, image characteristics (eg. brightness), computing resource consumption based on motion detection. Relevance may be indicated by colour. Selected ...

Monitoring system, photography-side device, and verification-side device

Provided is a monitoring system, comprising a imaging-side device, and a matching-side device which receives image data from the imaging-side device and matches the image data. The imaging-side device wirelessly transmits, to the matching-side device, feature value data which denotes feature of an image subject. Upon receiving the feature value data, and on the basis of the result of a comparison between the feature value data and feature value reference data, the matching-side device wirelessly transmits image data request information to the imaging-side device. Upon receiving the image data request information, the imaging-side device wirelessly transmits image data to the matching-side device.

Tile region protection

sistema modular para impressão 3d de géis

Method and system for improving construction of regions of interest

Identifying, in scene images, regions of interest to be used for setting the camera and/or to process images from the camera, comprising: in response to detecting targets in obtained images, segmenting the images into portions, each of which has an associated relevance indication showing how relevant it is for that portion to be included as part of a region of interest; displaying a representation of relevant portions and their corresponding relevance indications; detecting a user selection of a relevant portion and then updating the relevance indications associated with the other relevant portions based on the selected relevant portion; and determining a region of interest based on the most relevant portions indicated. Objects may be classified based on their position, size, distance, pose, speed. Segmentation may be based on target density, image characteristics (eg. brightness), computing resource consumption based on motion detection. Relevance may be indicated by colour. Selected portions ...

METHOD AND SYSTEM FOR MAINTAINING AND REPAIRING CARGO HOLD USING VIRTUAL CONTAINER LOADING INSPECTION

The present invention relates to a method and a system for maintaining and repairing a cargo hold using a virtual container loading inspection. The method for maintaining and repairing a cargo hold using a virtual container loading inspection comprises: a step of loading a virtual container on cells located inside a plurality of cell guides using modeling data on a cargo hold of a ship where the plurality of cell guides are installed; and a step of generating result data as the virtual container is loaded. The step of generating result data as the virtual container is loaded comprises: a step of extracting error interval information, which is out of preset reference interval information, among pieces of information on intervals between the virtual container and the cell guides in accordance with the height of the virtual container; a step of obtaining a position of a cell guide out of the preset reference interval information in accordance with the extracted error interval information; ...

TEXT IMAGE DEFECT DETECTION METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

This application provides an image defect detection method. The method includes obtaining a first image and a second image of a flawless image. A third image is obtained from the second image and the first image, and a fourth image is obtained according to the second image and an image to be detected. A fifth image is obtained based on the third image and the second image. A sixth image is obtained based on the third image and the fourth image. A seventh image is obtained from the fifth image and the sixth image. A defect value of the fourth image is obtained according to the third image and the seventh image. A detection result of the fourth image is determined based on the defect value.

Tile region protection

A graphics processing system and associated method for performing tile-based rendering of a scene that includes safety-critical elements are disclosed. The system is configured to receive data related to protected tiles, including security-related information, and to non-protected tiles. A fragment processing engine 320 is configured to, in a fragment processing phase, process twice in succession the crucial tiles so as to generate first and second outputs. Subsequently, for each protected tile, a check unit 314 compares both outputs, raising a fault signal if they do not match. The fragment processor processes only once tiles not depicting safety-related information. The system may be configured to store only the first safety-critical output, together with the non-critical one, while discarding the second critical output. The system may employ several fragment processors (Fig.4). The verification unit may generate characteristic signatures for the outputs of the fragment processing phase ...

Tile region protection

DEFORMITY-WEIGHTED REGISTRATION OF MEDICAL IMAGES

Disclosed is a computer-implemented method of determining a spatial relationship between planning image data and current surface data which leads to improved surface registration accuracy by considering the elasticity and deformability of the tissue. The knowledge about the tissue can be estimated based on type of tissue and atlas information. For the process of generating surface registration points on specific anatomical regions, e.g. the face or forehead, are acquired with a classical navigated pointer or laser pointer. It is also possible to acquire points with surface scanners. Confidence values defining a probability for certain parts of the surface registration points being deformed in comparison to a planning image are read from atlas data and used to compensate for the deformation in the registration between the surface registration points and the planning image in order to render the registration valid.

Label placement based on objects in photographic images

Aspects of the disclosure relate to placing labels on photographic images so as not to obstruct a particular object. An image associated with a geolocation is identified, where the geolocation is based on a user action. The image is analyzed to identify at least first and second objects within the image. Object types for each object are determined. A determination is made that the first object is to be annotated with a label according to the first object type, and that the first and second object types differ. The image is also analyzed to determine a position on the second object to place the label so that the label does not obstruct the first object. Based on this analysis, the label is placed on the second object without obstructing the first object.

Method and system for improving construction of regions of interest

APPARATUS AND METHOD FOR UTILIZING A BRAIN FEATURE ACTIVITY MAP DATABASE TO CHARACTERIZE CONTENT

A computer implemented method includes supplying stimuli to an organism, measuring brain activity of the organism responsive to the stimuli and producing a brain feature activity map characterizing the brain activity. The operations of supplying, measuring and producing are repeated for different stimuli to form a brain feature activity map database. New stimuli are received. New stimuli features are mapped to a projected brain activity map. The projected brain activity map is compared to the brain feature activity map database to identify similarities and dissimilarities between the projected brain activity map and entries in the brain feature activity map database to designate a match. The new stimuli are characterized based upon the match.

Method and system for improving construction of regions of interest

ACCELERATED IMAGE GRADIENT BASED ON ONE-DIMENSIONAL DATA

Methods and systems of generating an image gradient are presented. In one example, image data for generating a two-dimensional digital image is provided to a hardware graphics processor. The image data may include a single pixel along a first direction of the digital image and multiple pixels along a second direction of the digital image. The pixels along the second direction of the digital image may include an image gradient. A one-dimensional stretching operation of the hardware graphics processor is initiated based on the image data to generate the digital image. In response to the stretching operation, the digital image may include multiple pixels along the first direction for each of the single pixels, wherein each of the multiple pixels along the first direction for a corresponding pixel of the single pixels comprises the corresponding pixel.

System for georeferenced, geo-oriented realtime video streams

A system for creating a composite georeferenced, geo-oriented geospatial/realtime image by combining prestored geographic data with realtime video streams and state data characterizing the source of the realtime video stream and visually displaying the composite image under a user's realtime control.

Status monitoring apparatus, status monitoring method, and program

A status monitoring apparatus includes information obtaining means to obtain detected information items that are continuously detected; image data generating means to partition the detected information items by frames at predetermined time intervals, and configured to generate, for each frame, two-dimensional image data representing a distribution of detected information items in the frame, with an axis of abscissa being a time axis and an axis of ordinate being an axis showing a value/amount of the detected information items; and status detecting means to perform a machine learning based on the two-dimensional image data generated by the image data generating means to generate a correct label for judging whether the two-dimensional image data show at least a warning sign of failure, and to judge that at least a warning sign of failure has occurred in the detected information items, when the two-dimensional image data corresponding to the correct label are generated.

Escape detection and mitigation for aquaculture

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for escape detection and mitigation for aquaculture. In some implementations, a method includes obtaining one or more images that depict one or more fish within an enclosure; generating, as a result of providing the one or more images to multiple detection models, a value that reflects a quantity of fish that are depicted in the images that are likely a member of each different type of fish; detecting an error condition relating to a possible opening of the enclosure based at least on the value; and in response to detecting the error condition relating to the possible opening of the enclosure, initiating one or more mitigation actions relating to the possible opening.

Apparatus and method for utilizing a brain feature activity map database to characterize content

A computer implemented method includes supplying stimuli to an organism, measuring brain activity of the organism responsive to the stimuli and producing a brain feature activity map characterizing the brain activity. The operations of supplying, measuring and producing are repeated for different stimuli to form a brain feature activity map database. New stimuli are received. New stimuli features are mapped to a projected brain activity map. The projected brain activity map is compared to the brain feature activity map database to identify similarities and dissimilarities between the projected brain activity map and entries in the brain feature activity map database to designate a match. The new stimuli are characterized based upon the match.

Visual web analysis system and method

A visual web page analysis system includes an image analyzing unit, a block analyzing unit, a vision identifying unit, and an output unit. The image analyzing unit loads information of a web page and segments content of the web page into a plurality of blocks based on a visual feature. The block analyzing unit classifies the blocks based on an attribute of each block. The vision identifying unit compares at least a relative feature of each block to determine a function of each block on the web page. The output unit collects the blocks and their functions into an information interface and outputs the information interface.

MULTI-PURPOSE SMART RICE COOKERS

A rice cooker assembly uses machine learning models to identify and classify different types of food stored. The rice cooker has a chamber including different compartments for storing different types of food. A camera is positioned to view an interior of the chamber. The camera captures images of the contents of the chamber. From the images, the machine learning model classifies the different types of food stored. The rice cooker determines a mixture of different types of food based on nutrition value and/or taste. The rice cooker creates the mixture and controls the cooking process accordingly. The one or more machine learning models may be resident in the rice cooker or it may be accessed via a network.

SYSTEMS AND METHODS FOR AUGMENTED REALITY AVIATION INTERFACES

An augmented reality (AR) system for aviation generates aviation objects over an image during flight. The AR system may determine a location and an orientation of the image capture device based on the location information and orientation information. The AR system may determine a field of view of the image capture device and identify aviation objects within the field of view. The AR system can then generate graphical user interface elements for identified aviation objects to be overlayed on the image data.

APPARATUS AND METHOD FOR UTILIZING A BRAIN FEATURE ACTIVITY MAP DATABASE TO CHARACTERIZE CONTENT

A computer implemented method includes supplying stimuli to an organism, measuring brain activity of the organism responsive to the stimuli and producing a brain feature activity map characterizing the brain activity. The operations of supplying, measuring and producing are repeated for different stimuli to form a brain feature activity map database. New stimuli are received. New stimuli features are mapped to a projected brain activity map. The projected brain activity map is compared to the brain feature activity map database to identify similarities and dissimilarities between the projected brain activity map and entries in the brain feature activity map database to designate a match. The new stimuli are characterized based upon the match.

Computer program, object tracking method, and display device

A method including acquiring a captured image of an object with a camera, detecting a first pose of the object on the basis of 2D template data and either the captured image at initial time or the captured image at time later than the initial time, detecting a second pose of the object corresponding to the captured image at current time on the basis of the first pose and the captured image at the current time, displaying an AR image in a virtual pose based on the second pose in the case where accuracy of the second pose at the current time falls in a range between a first criterion and a second criterion; and detecting a third pose of the object on the basis of the captured image at the current time and the 2D template data in the case where the accuracy falls in the range.

State monitoring device State monitoring method and program

Systems and methods for augmented reality aviation interfaces

An augmented reality (AR) system for aviation generates aviation objects over an image during flight. The AR system may determine a location and an orientation of the image capture device based on the location information and orientation information. The AR system may determine a field of view of the image capture device and identify aviation objects within the field of view. The AR system can then generate graphical user interface elements for identified aviation objects to be overlayed on the image data.

MONITORING SYSTEM, PHOTOGRAPHY-SIDE DEVICE, AND VERIFICATION-SIDE DEVICE

Provided is a monitoring system, comprising a imaging-side device, and a matching-side device which receives image data from the imaging-side device and matches the image data. The imaging-side device wirelessly transmits, to the matching-side device, feature value data which denotes feature of an image subject. Upon receiving the feature value data, and on the basis of the result of a comparison between the feature value data and feature value reference data, the matching-side device wirelessly transmits image data request information to the imaging-side device. Upon receiving the image data request information, the imaging-side device wirelessly transmits image data to the matching-side device.

EVENT DETECTION, CONFIRMATION AND PUBLICATION SYSTEM THAT INTEGRATES SENSOR DATA AND SOCIAL MEDIA

Enables integration of sensor data with other information on servers such as social media sites to detect, confirm and/or publish events. Sensors may measure values such as motion, temperature, humidity, wind, pressure, elevation, light, sound, or heart rate, etc. Sensor data and event tags may be utilized to curate text, images, video, sound and post the results to social networks, for example in a dedicated feed. Event tags generated by the system may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags. Recommendations may be provided to a user based on analysis of sensor data and other information; recommendations may include for example recommended friends, purchases, or activities.

Method and equipment for determining region-of-interest

State monitoring device, state monitoring method and program

To efficiently and accurately determine an anomaly or signs of an anomaly in continuously detected information. This state monitoring device comprises: an information acquisition unit that acquires detection information which is continuously detected; an image data generation unit that segments the detection information by frame F every prescribed time interval, and uses the horizontal axis as the time axis and the vertical axis as an axis indicating the size or amount of the detection information to generate, in frame F units, two-dimensional image data representing the distribution of a plurality of detection information pieces within a frame F; and a state detection unit that executes machine learning based on the sequentially generated two-dimensional image data, generates a "correct" label for determining whether two-dimensional image data indicates an anomaly or signs of an anomaly, and determines that an anomaly or signs of an anomaly occurred upon generation of two-dimensional image ...

Method and System for Repairing Cargo Hold using Virtual Inspection for Loading Container

Strategies for triggering depth sensors and transmitting rgbd images in a cloud-based object recognition system

System and method for analyzing visual webpage

Foreign object detection

It is inter alia disclosed to determining whether an object detected (160) based on at least one capacitance representative of at least one capacitance representative sensed by at least one capacitance sensing element (111, 112, 113) of an apparatus (100) corresponds to a predefined type of objects, the apparatus (100) further comprising a wireless charging unit (140), wherein the at least one capacitance sensing element (111, 112, 113) is at least partially placed in proximity to the wireless charging unit (140).

METHOD FOR MODELING CARGO HOLD FOR VIRTUAL INSPECTION OF CONTAINER LOADING AND SYSTEM FOR MODELING CARGO HOLD FOR VIRTUAL INSPECTION OF CONTAINER LOADING

The present invention relates to a method for modeling a cargo hold for virtual inspection of container loading and a system for modeling a cargo hold for virtual inspection of container loading. The method for modeling the cargo hold for virtual inspection of container loading comprises: a step of measuring a cargo hold in which a plurality of cell guides, guide fittings and cones are installed by using a three-dimensional scanner to obtain measurement data, and acquiring scan data for the cargo hold by using the obtained measurement data; and a step of generating modeling data for the cargo hold by using the scan data for the cargo hold, wherein the step of generating the modeling data for the cargo hold includes a step of modeling the cell guides. The step of modeling the cell guides includes a step of extracting only location coordinates for the cell guides, and a step of generating modeling data for the surfaces of the cell guides by using the extracted location coordinates for the ...

ACCELERATED IMAGE GRADIENT BASED ON ONE-DIMENSIONAL DATA

Methods and systems of generating an image gradient are presented. In one example, image data for generating a two-dimensional digital image is provided to a hardware graphics processor. The image data may include a single pixel along a first direction of the digital image and multiple pixels along a second direction of the digital image. The pixels along the second direction of the digital image may include an image gradient. A one-dimensional stretching operation of the hardware graphics processor is initiated based on the image data to generate the digital image. In response to the stretching operation, the digital image may include multiple pixels along the first direction for each of the single pixels, wherein each of the multiple pixels along the first direction for a corresponding pixel of the single pixels comprises the corresponding pixel.

Method for Modeling Cargo hold of Virtual Inspection for Loading Container and System for Modeling Cargo hold of Virtual Inspection for Loading Container

Visual web page analysis system and method

A visual web page analysis system includes an image analyzing unit, a block analyzing unit, a vision identifying unit, and an output unit. The image analyzing unit loads information of a web page and segments content of the web page into a plurality of blocks based on a visual feature. The block analyzing unit classifies the blocks based on an attribute of each block. The vision identifying unit compares at least a relative feature of each block to determine a function of each block on the web page. The output unit collects the blocks and their functions into an information interface and outputs the information interface.

PANORAMIC 360 DEGREE CAMERA SYSTEM FOR LAW ENFORCEMENT

A system for law enforcement recording that includes: a robotic camera; a position transmitter on the robotic camera; and at least one receiver, where the at least one receiver is adapted to be worn by a user. The robotic camera captures panoramic views surrounding the at least one receiver. The receiver may be worn by the user in the form of an armband or strip placed on a user's hat.

Escape detection and mitigation for aquaculture

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for escape detection and mitigation for aquaculture. In some implementations, a method includes obtaining one or more images that depict one or more fish within a population of fish that are located within an enclosure; providing, to one or more detection models configured to classify fish that are depicted within the images as likely being member or as likely not being member of a type of fish, the one or images; generating, as a result of providing the one or more images to the one or more detection models, a value that reflects a quantity of fish that are depicted in the images that are likely a member of the type of fish; and detecting a condition based at least on the value.

ACCELERATED IMAGE GRADIENT BASED ON ONE-DIMENSIONAL DATA

Methods and systems of generating an image gradient are presented. In one example, image data for generating a two-dimensional digital image is provided to a hardware graphics processor. The image data may include a single pixel along a first direction of the digital image and multiple pixels along a second direction of the digital image. The pixels along the second direction of the digital image may include an image gradient. A one-dimensional stretching operation of the hardware graphics processor is initiated based on the image data to generate the digital image. In response to the stretching operation, the digital image may include multiple pixels along the first direction for each of the single pixels, wherein each of the multiple pixels along the first direction for a corresponding pixel of the single pixels comprises the corresponding pixel.

Methods and systems for imaging performance analysis

A method for analyzing performance of an imaging device including a scanner with a phantom includes receiving image data related to a scanning, by the scanner, of a first part of the phantom including at least part of a first test component. The method also includes obtaining at least one positioning parameter indicative of a positioning manner of the phantom during the scanning. The method further includes generating a first test image based on the received image data and determining a first region of interest (ROI) related to the first test component in the first test image based on the at least one positioning parameter.

Method for determining a postural and visual behavior of a person

A method for determining a postural and visual behavior of a person, the method comprising:—a person image receiving step during which a plurality of images of the person are received,—a context determining step during which the plurality of images of the person are analyzed so as to determine context data representative of the context in which the person is on each image of the plurality of images,—an analyzing step during which the plurality of images of the person are analyzed so as to determine at least one oculomotor parameter of the person,—a postural and visual behavior determining step during which a postural and visual behavior of the person is determined based at least on the at least one oculomotor parameter and the context data.

System for georeferenced, geo-oriented realtime video streams

A system for creating a composite georeferenced, geo-oriented geospatial/realtime image by combining prestored geographic data with realtime video streams and state data characterizing the source of the realtime video stream and visually displaying the composite image under a user's realtime control.

ATTACHED SUBSTANCE DETECTION DEVICE AND ATTACHED SUBSTANCE DETECTION METHOD

An attached substance detection device according to an embodiment includes a calculation unit and a determination unit. The calculation unit calculates a score of a divided region that is provided by dividing a predetermined target region, based on an edge intensity in each pixel region of a captured image that is captured by an image-capturing device. The determination unit determines whether or not the target region is an attached substance region where an attached substance is attached to a lens of the image-capturing device, based on the score that is calculated by the calculation unit.

COMPUTER VISION SYSTEM AND METHOD OF LABEL DETECTION, READING, AND REGISTRATION OF LABELS ON OBJECTS

A computer vision system for automatic identification, tracking and management of inventory and/or assets, wherein: the computer vision system is programmed with predetermined and configurable image data conditions that identify and capture certain types of movement; the computer vision system is programmed to constantly capture and process image data from one or more sets of sensors to detect the image data conditions; the computer vision system is programmed to trigger the process of identifying all objects and extracting label information from objects present in a field of view of the system if the image data conditions are fulfilled; the computer vision system processes the image data with one or more object detection algorithms and label detection algorithms and generate correspondences between objects and labels identified; and the computer vision system running change detection algorithms and semantic analysis to detect if any object was moved, removed, occluded and if any new objects ...

SYSTEMS AND METHODS FOR AUGMENTED REALITY AVIATION INTERFACES

An augmented reality (AR) system for aviation generates aviation objects over an image during flight. The AR system may determine a location and an orientation of the image capture device based on the location information and orientation information. The AR system may determine a field of view of the image capture device and identify aviation objects within the field of view. The AR system can then generate graphical user interface elements for identified aviation objects to be overlayed on the image data.

SYSTEMS AND METHODS FOR DIAGNOSING OPERATIONAL ISSUES IN A RESPIRATORY SYSTEM

The present disclosure relates to a method for diagnosing an operational issue in a respiratory therapy system. A command is received, via an external device, to begin diagnosing the operational issue in the respiratory therapy system. One or more sensors of the external device are caused to generate acoustic data, which is indicative of one or more sounds emanating from the respiratory therapy system. At least a portion of the generated acoustic data is analyzed to identify (i) a location of the operational issue in the respiratory therapy system, (ii) one or more causes of the operational issue in the respiratory therapy system, or (iii) both (i) and (ii).

DEFORMITY-WEIGHTED REGISTRATION OF MEDICAL IMAGES

ACCELERATED IMAGE GRADIENT BASED ON ONE-DIMENSIONAL DATA

Sticker with user-edited image printed thereon and method for manufacturing same

A method for providing an augmented reality service using an AR sticker comprises: a step where a mobile terminal requests, from a server, an AR sticker template enabling a user to edit an AR sticker, and the server transmits the AR sticker template; a step where the mobile terminal directly edits the AR sticker image using the AR sticker template and creates AR content corresponding to the AR sticker image; a step where the server receives the AR sticker image and the AR content from the mobile terminal and stores same in an AR database, and creates an AR sticker including the AR sticker image and the AR content; a step where the mobile terminal receives the AR sticker, transmits the AR sticker to a printer, and requests printing of the AR sticker; and a step where the printer prints the AR sticker and conveys the printed AR sticker.

Visual web analysis system and method

System for georeferenced, geo-oriented realtime video streams

A system for creating a composite georeferenced, geo-oriented geospatial/realtime image by combining prestored geographic data with realtime video streams and state data characterizing the source of the realtime video stream and visually displaying the composite image under a user's realtime control.

Multi-purpose smart rice cookers

A rice cooker assembly uses machine learning models to identify and classify different types of food stored. The rice cooker has a chamber including different compartments for storing different types of food. A camera is positioned to view an interior of the chamber. The camera captures images of the contents of the chamber. From the images, the machine learning model classifies the different types of food stored. The rice cooker determines a mixture of different types of food based on nutrition value and/or taste. The rice cooker creates the mixture and controls the cooking process accordingly. The one or more machine learning models may be resident in the rice cooker or it may be accessed via a network.

METHOD AND SYSTEM FOR IMPROVING CONSTRUCTION OF REGIONS OF INTEREST

A method for constructing a region of interest from images representing a same scene, the region of interest being used for setting the camera used to obtain the images and/or to process images obtained from the camera, the method including obtaining a plurality of images representing a same scene; detecting predetermined targets in images of the plurality of images; segmenting an area corresponding to the images of the plurality of images into portions of image, each of the portions being associated with a relevance indication for the corresponding portion to be selected as part of a region of interest; selecting at least one relevant portion among the portions, as a function of the relevance indications; upon detecting selection of a relevant portion, updating the relevance indication associated with relevant portions different than the selected relevant portions, as a function of the selected relevant portions; and constructing a region of interest based on the selected relevant portions ...

Event detection, confirmation and publication system that integrates sensor data and social media

Enables integration of sensor data with other information on servers such as social media sites to detect, confirm and/or publish events. Sensors may measure values such as motion, temperature, humidity, wind, pressure, elevation, light, sound, or heart rate, etc. Sensor data and event tags may be utilized to curate text, images, video, sound and post the results to social networks, for example in a dedicated feed. Event tags generated by the system may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags. The system may create highlight and fail reels filtered by metrics and by tags. Recommendations may be provided to a user based on analysis of sensor data and other information; recommendations may include for example recommended friends, purchases, or activities.

Attached substance detection device and attached substance detection method

An attached substance detection device according to an embodiment includes a calculation unit and a determination unit. The calculation unit calculates a score of a divided region that is provided by dividing a predetermined target region, based on an edge intensity in each pixel region of a captured image that is captured by an image-capturing device. The determination unit determines whether or not the target region is an attached substance region where an attached substance is attached to a lens of the image-capturing device, based on the score that is calculated by the calculation unit.

INSECT IDENTIFICATION SYSTEM AND METHOD

A computer-implemented system for automatic identification and classification of an insect that has a device connected to a camera, a processor, and a non-transitory machine-readable medium having instructions stored therein, which when executed by the processor, cause the processors to perform the following operations: receiving a live-time image of the insect captured by the camera, determining from the live-time image an irrelevant image data and a relevant image data, determining identification and classification of the insect from the relevant image data by using a convolutional neural network (CNN) module, and providing an alert based on the identification and classification of the insect.

Accelerated image gradient based on one-dimensional data

Methods and systems of generating an image gradient are presented. In one example, image data for generating a two-dimensional digital image is provided to a hardware graphics processor. The image data may include a single pixel along a first direction of the digital image and multiple pixels along a second direction of the digital image. The pixels along the second direction of the digital image may include an image gradient. A one-dimensional stretching operation of the hardware graphics processor is initiated based on the image data to generate the digital image. In response to the stretching operation, the digital image may include multiple pixels along the first direction for each of the single pixels, wherein each of the multiple pixels along the first direction for a corresponding pixel of the single pixels comprises the corresponding pixel.

For cloud-based object identification system for triggering the depth sensor and emitting the RGBD Image strategy

Strategies for triggering depth sensors and transmitting RGBD images in a cloud-based object recognition system

Systems, apparatus and methods for triggering a depth sensor and/or limiting bandwidth and/or maintaining privacy are presented. By limiting use of a depth sensor to times when an optical image alone is insufficient, mobile device power is saved. Furthermore, by reducing a size of an optical image to only the portion of the image needed to detect an object, bandwidth is saved and privacy is maintained by not communicating unneeded or undesired information.

STRATEGIES FOR TRIGGERING DEPTH SENSORS AND TRANSMITTING RGBD IMAGES IN A CLOUD-BASED OBJECT RECOGNITION SYSTEM

Systems, apparatus and methods for triggering a depth sensor and/or limiting bandwidth and/or maintaining privacy are presented. By limiting use of a depth sensor to times when an optical image alone is insufficient, mobile device power is saved. Furthermore, by reducing a size of an optical image to only the portion of the image needed to detect an object, bandwidth is saved and privacy is maintained by not communicating unneeded or undesired information.

COMPUTER PROGRAM, OBJECT TRACKING METHOD, AND DISPLAY DEVICE

A method including acquiring a captured image of an object with a camera, detecting a first pose of the object on the basis of 2D template data and either the captured image at initial time or the captured image at time later than the initial time, detecting a second pose of the object corresponding to the captured image at current time on the basis of the first pose and the captured image at the current time, displaying an AR image in a virtual pose based on the second pose in the case where accuracy of the second pose at the current time falls in a range between a first criterion and a second criterion; and detecting a third pose of the object on the basis of the captured image at the current time and the 2D template data in the case where the accuracy falls in the range.

STATUS MONITORING APPARATUS, STATUS MONITORING METHOD, AND PROGRAM

A status monitoring apparatus includes information obtaining means to obtain detected information items that are continuously detected; image data generating means to partition the detected information items by frames at predetermined time intervals, and configured to generate, for each frame, two-dimensional image data representing a distribution of detected information items in the frame, with an axis of abscissa being a time axis and an axis of ordinate being an axis showing a value/amount of the detected information items; and status detecting means to perform a machine learning based on the two-dimensional image data generated by the image data generating means to generate a correct label for judging whether the two-dimensional image data show at least a warning sign of failure, and to judge that at least a warning sign of failure has occurred in the detected information items, when the two-dimensional image data corresponding to the correct label are generated.

METHODS AND SYSTEMS FOR IMAGING PERFORMANCE ANALYSIS

A method for analyzing performance of an imaging device including a scanner with a phantom includes receiving image data related to a scanning, by the scanner, of a first part of the phantom including at least part of a first test component. The method also includes obtaining at least one positioning parameter indicative of a positioning manner of the phantom during the scanning. The method further includes generating a first test image based on the received image data and determining a first region of interest (ROI) related to the first test component in the first test image based on the at least one positioning parameter.

Method and system for improving construction of regions of interest

A method for constructing a region of interest from images representing a same scene, the region of interest being used for setting the camera used to obtain the images and/or to process images obtained from the camera, the method including obtaining a plurality of images representing a same scene; detecting predetermined targets in images of the plurality of images; segmenting an area corresponding to the images of the plurality of images into portions of image, each of the portions being associated with a relevance indication for the corresponding portion to be selected as part of a region of interest; selecting at least one relevant portion among the portions, as a function of the relevance indications; upon detecting selection of a relevant portion, updating the relevance indication associated with relevant portions different than the selected relevant portions, as a function of the selected relevant portions; and constructing a region of interest based on the selected relevant portions ...

LOCALIZATION DEVICE AND LOCALIZATION METHOD FOR VEHICLE

A localization device and a localization method for a vehicle are provided. The localization device includes an inertia measurer, an encoder, an image capturing device, and a processor. The processor obtains an encoded data by the encoder to generate a first odometer data, obtains an inertial data by the inertia measurer to generate a heading angle estimation data, and obtains an environmental image data by the image capturing device to generate a second odometer data. In a first fusion stage, the processor fuses the heading angle estimation data and the first odometer data to generate first fusion data. In a second fusion stage, the processor fuses the first fusion data, the heading angle estimation data and the second odometer data to generate pose estimation data corresponding to the localization device.

Correlation of position data that are acquired by means of a video tracking system with a second localization system

The invention relates to a video tracking system which determines the position of objects, e.g. players in a football match, by evaluating video image information. According to the present invention, the video tracking system is additionally provided with an independent positioning system which is preferably used in instances when the video-based position detection is faulty or does not work at all. According to one embodiment, the independent positioning system is GPS based, each football player carrying a portable GPS module which transmits the position data to the system by radio. Additional data, such as heart rate or acceleration, can also be transmitted.

Stent localization in 3d cardiac images

Systems and methods are described for automatically identifying coronary stents within a 3D cardiac image. Based on feature analysis on a cardiac image, coronary stents can be detected by filtering the cardiac images for stent candidates, applying a score based on factors related to coronary stents and applying a threshold. Once coronary stents are identified, in-stent restenosis and stent fractures can be further detected.

Methods and systems of imaging cut stones

A method of imaging a cut stone. The method comprises a) identifying an orientation of a cut stone, b) creating a volumetric model of the cut stone according to the orientation, c) capturing a plurality of images of the cut stone from a plurality of viewing angles around the cut stone, d) cropping a plurality of segments depicting the cut stone from the plurality of images using the volumetric model, and e) generating a volumetric image of the cut stone from the plurality of segments.

System and method for remote melanoma screening

A system and method are provided for diagnosing diseases or conditions from digital images taken by a remote user with a smart phone or a digital camera and transmitted to an image analysis server in communication with a distributed network. The image analysis server includes a trained learning machine for classification of the images. The user-provided image is pre-processed to extract dimensional, shape and color features then is processed using the trained learning machine to classify the image. The classification result is postprocessed to generate a risk score that is transmitted to the remote user. A database associated with the server may include referral information for geographically matching the remote user with a local physician. An optional operation includes collection of financial information to secure payment for analysis services.

Image processing apparatus, method of processing image, and computer-readable recording medium

An image processing apparatus includes a reference surface generating unit that generates a reference surface indicating a reference value of each of a plurality of color elements of pixels constituting an intraluminal image at a pixel position of the each color element by performing a morphology process using pixel values of the color elements; and an abnormal area detecting unit that detects an abnormal area from the intraluminal image based on a difference for each of the color elements between the pixel value of each pixel and the reference surface.

Simulation of vessels in an image

A method for processing an image of a body region is provided, the region comprising a plurality of vessels capable of propagating a fluid of the body, the image comprising a plurality of pixels each being associated with an intensity. The method comprising determining, for each pixel, a probability that the pixel belongs to a vessel, based on the intensity of the pixel; simulating a propagation of the fluid from at least one source pixel towards the pixels of the image, the propagation being simulated to have a velocity that is function of the probability that the pixels of the image belong to a vessel; and inferring from the simulation a propagation time between the source pixel and each of the pixels of the image.

Image processing apparatus and method for reducing gradation level of image

An image processing apparatus includes a first generation portion that generates a first low-gradation image by performing a first process on an input image to reduce the number of gradations of the input image, a second generation portion that generates a second low-gradation image by performing a second process on the input image to reduce the number of gradations of the input image, a density detector that detects a density of the input image, a determination portion that determines, based on the density, a ratio at which the first low-gradation image and the second low-gradation image are blended together, and a mixing portion that blends the first low-gradation image and the second low-gradation image in accordance with the ratio.

Position-dependent gaming, 3-d controller, and handheld as a remote

Methods and systems for using a position of a mobile device with an integrated display as an input to a video game or other presentation are presented. Embodiments include rendering an avatar on a mobile device such that it appears to overlay a competing user in the real world. Using the mobile device's position, view direction, and the other user's mobile device position, an avatar (or vehicle, etc.) is depicted at an apparently inertially stabilized location of the other user's mobile device or body. Some embodiments may estimate the other user's head and body positions and angles and reflect them in the avatar's gestures.

Method for Determining Properties of a Vessel in a Medical Image

A method and a system for determining properties of a vessel in a medical image are provided. The method involves displaying the medical image including the vessel. The displayed vessel is segmented and indicated in the medical image. For an indicated vessel, a maximum curvature along a length of the vessel is determined as the property of the vessel. Another vessel parameter which can be determined is the smallest diameter along the length of the vessel.

Computer vision aided automated tire inspection system for in-motion inspection of vehicle tires

A system and method related thereto, for automatically inspecting at least one tire of a moving vehicle. The system includes an image acquisition device including at least one camera. The camera acquires multiple real-time images of at least one tire of a moving vehicle. As the tire of the vehicle enters a field of view of the camera, the camera component is configured to photograph and transmit the multiple photographs of the at least one tire. A light source illuminates the at least one tire of the vehicle in the field of view of the camera, and the light application may be synchronous with the imaging performed by the camera. A computer image processing component receives the multiple images transmitted from the camera and analyzes the multiple images using a detection program. The computer imaging processing component analyzing the photographs and provides an inspection analysis of each at least one tire.

Method and apparatus for capturing, geolocating and measuring oblique images

A computerized system for displaying and making measurements based upon captured oblique images. The system includes a computer system executing image display and analysis software. The software reads a plurality of captured oblique images having corresponding geo-location data and a data table storing ground plane data that approximates at least a portion of the terrain depicted within the captured oblique images. The executed software causes the computer system to receive a starting point selected by a user, receive an end point selected by the user and calculate a desired measurement between the starting and end points dependent upon the geo-location data and ground plane data. The desired measurement is selected from a group consisting of a distance measuring mode, a height measuring mode, and a relative elevation measuring mode.

Method and system for measuring vehicle speed based on movement of video camera

A digital video camera is placed on a vehicle. The video camera is attached to the vehicle and is directed to a surface at a certain angle to the surface. The camera angle can change while vehicle is in motion. The camera angle is constantly measured by angular sensor (i.e., inclinometer). Images of the surface are projected onto a video matrix and transformed into a sequence of digital frames that are formed at a pre-set time interval. A speed of the video camera relative to the surface is calculated as a ratio of an off-set between the adjacent frames and the time interval between the frames. Then a known relative speed of the vehicle can be corrected by multiplication of the height of the camera (above the surface) by a coefficient that equals a ratio of the known vehicle speed and the measured camera speed.

Systems and methods for presenting video data

Described herein are systems and methods for presenting video data to a user. In overview, video data originates from a source, such as a capture device in the form of a camera. This video data is defined by a plurality of sequential frames, having a common geometric size. This size is referred to as the “geometric bounds of captured video data”. Analytics software is used to track objects in the captured video data, and provide position data indicative of the location of a tracked object relative to the geometric bounds of captured video data. Video data is presented to a user via a “view port”. By default, this view port is configured to display video data corresponding to geometric bounds of captured video data. That is, the view port displays the full scope of video data, as captured. Embodiments of the present invention use the position data to selectively adjust the view port to display a geometrically reduced portion of the geometric bounds of captured video data, thereby to assist the user in following a tracked object.

Image segmentation

According to one embodiment there is provided a method of selecting a plurality of M atlases from among a larger group of N candidate atlases to form a multi-atlas data set to be used for computer automated segmentation of novel image data sets to mark objects of interest therein. A set of candidate atlases is used containing a reference image data set and segmentation data. Each of the candidate atlases is segmented against the others in a leave-one-out strategy, in which the candidate atlases are used as training data for each other. For each candidate atlas in turn, the following is carried out: registering; segmenting; computing an overlap; computing a value of the similarity measure for each of the registrations; and obtaining a set of regression parameters by performing a regression with the similarity measure being the independent variable and the overlap being the dependent variable. The M atlases are then selected from among all the N candidate atlases to form the multi-atlas data set, the M atlases being those atlases determined to collectively provide the highest aggregate overlap over all the training data image sets.

Medical image diagnostic apparatus and volume calculating method

A medical image diagnostic apparatus provided with an image acquisition unit configured to acquire in-vivo information about an object to be examined as a medical image, a display unit configured to display the medical image, a setting unit configured to set a target region of volume measurement in the medial image displayed on the display unit, a calculation unit configured to perform calculation to split the target region into a plurality of volume elements, calculate the moving distance of the vertices of the volume elements when the target region of the acquired medical image moves, calculate the volumes of the volume elements after the movement using the calculated moving distance of the vertices, totalizing the calculated volumes of the volume elements after the movement and using the total volume as the volume of the target region, and a control unit configured to display the volume of the target region on the display unit.

Methods, Systems and Apparatus for Defect Detection and Classification

Aspects of the present invention are related to systems, methods and apparatus for image-based automatic detection of a defective area in a flat panel display and classification of the defect type and the cause of the detected defect.

Fundus observation apparatus

The fundus observation apparatus 1 has a function to form tomographic images and 3-dimensional images of a fundus Ef by scanning signal light LS as well as a function to form a moving image (observation image K) of a fundus Ef during OCT measurement. Furthermore, the fundus observation apparatus 1 includes an x-correction part 231 and a y-correction part 232 for correcting a position in the fundus surface direction of the 3-dimensional image based on the observation image K, and a z-correction part 233 for correcting the position in the fundus depth direction of a 3-dimensional image, based on a tomographic image Gi of the fundus Ef based on the detection results of interference light LC of separately scanned signal light LS and reference light LR.

Learning apparatus, identifying apparatus and method therefor

A learning apparatus acquires a plurality of training samples containing a plurality of attributes and known classes, gives the plurality of training samples to a route node of a decision tree to be learned as an identifier, generates a plurality of child nodes from a parent node of the decision tree, allocates the training samples whose attribute corresponding to a branch condition for classification is not a deficit values at the parent node of the decision tree out of the plurality of training samples, to any of the plurality of child nodes according to the branch condition, gives the training samples whose attribute is the deficit value, to any one of the plurality of child nodes, and executes the generation of the child nodes and the allocating of the training samples until a termination condition is satisfied.

Image measuring apparatus and image measuring method

Disclosed in an image measuring apparatus including an image capture unit which captured an image of a measurement subject, an import unit which imports the image of the measurement subject which is captured by the image capture unit, a binarization unit which binarizes the image which is imported by the import unit, an contour detection unit which recognizes graphic information in the image which is binarized by the binarization unit and detects an contour of the graphic information, A corner detection unit which detects corners of the graphic information based on the contour which is detected by the contour detection unit, a setting unit which respectively sets edge detection tools on lines of the contour including the corners detected by the corner detection unit and a measurement unit which measures the graphic information by the edge detection tools which are set by the setting unit.

Image analyis method and system

The invention relates to a system and method for enhancing image data obtained from a positron emission tomography (PET) scan. In various embodiments, the method comprises transforming an original image data set to provide a first modified image data set by performing a masked volume-wise principal component analysis (MVW-PCA) on the original image data set. The first modified image data set is then transformed to provide a second modified image data set by performing a masked volume-wise independent component analysis (MVW-ICA) on the first modified image data set, the second modified image data set thereby comprising enhanced image data.

Image processing apparatus, image processing method, image processing system, and computer readable memory

An image processing apparatus includes an extraction unit configured to extract a structure of a tested eye from an OCT image obtained by optical coherence tomography, an extraction unit configured to extract a structure of the tested eye from an eyeground image obtained by a scanning laser ophthalmoscope or a fundus camera, a calculation unit configured to calculate a reliability degree of the extraction for each of the extracted structures, and a display control unit configured to display the extracted structures superimposed on a image of eyeground according to the calculated reliability.

Display apparatus and a method therefor

A display apparatus for presenting an image comprises an image receiver ( 101 ) for receiving an image to be displayed. An image analyzer ( 103 ) performs a local image profile analysis on at least a first region of the image to determine a pixel value spatial variation characteristic. The image analyzer ( 103 ) is coupled to a scaling processor ( 105 ) which scales at least a second region of the image in response to the pixel value spatial variation characteristic. The scaling processor ( 105 ) is coupled to a presentation controller ( 107 ) which presents the scaled image. The scaling may specifically be adjusted dependent on a sharpness or spatial frequency characteristics of the image. The invention may allow an improved adaptation of the presentation of one or more images to the specific characteristics of the image(s).

Processing of radiological images to delete markers without image deterioration

The disclosure generally relates to dual-energy imaging, and in particular, techniques to produce and process dual-energy images using a dual-energy imaging system. One embodiment provides a method for generating at least one image of a region of interest in a patient, the method comprising: obtaining at least two radiological images of the region of interest identified with at least one marker arranged on and/or around the patient, wherein a first image is acquired. with a first X-ray energy and a second image is acquired with a second X-ray energy; and determining a final radiological image of the region of interest by linearly combining the two radiological images to obtain an image without the markers.

Respiration-correlated radiotherapy

An approach to radiotherapy is disclosed which allows the therapeutic beam to be more accurately directed towards a target region. Instead of stopping acquiring images during treatment, the system continues to acquire images as treatment is ongoing. This ongoing pipeline of images is used to update the previously created 3D reconstructions of each breathing phase. Thus the position of the target region can also be updated. The surrogate is recorded simultaneously with the image acquisition although it is not used to determine the breathing phase. As new images are used to update the 3D reconstructions of each breathing phase the values of the surrogate associated with that phase are also updated. This means that the correlation with the surrogate can also continue to be evaluated, and the correlation refined, thus improving the ability of the system to track the motion of the target.

Device and method to extract a tissue sample

In a device and associated method to extract a tissue sample, spatial coordinates of tissue variations in slice images are determined and tested by a forward projection in projection images in order, with tested spatial coordinates, to create revised slice images with a precise localization of a tissue variation.

Image processing apparatus and method, and program

The present invention relates to an image processing apparatus and method, and a program that make it possible to more accurately specify a photographic subject in an image. A photographic subject map generating unit 21 generates, based on an input image, a photographic subject map indicating the likeliness of each region of the input image being a region of a photographic subject. A gradient map generating unit 22 generates a gradient map indicating the degree of change of the likeliness of the photographic subject map being a photographic subject. A threshold processing unit 23 and a threshold processing unit 24 binarize the gradient map using a high threshold THh and a low threshold TH 1 , and obtain threshold maps. A composite map generating unit 25 generates a composite map indicating the likeliness of each region of the input image being a photographic subject by regarding that, among regions specified as being likely to be a photographic subject based on the threshold map of the low threshold TH 1 , a region including a region specified as being likely to be a photographic subject based on the threshold map of the high threshold THh is a region of a photographic subject. The present invention is applicable to an image processing apparatus.

Enhanced ultrasound image display

Using specialized cardiac catheters for image acquisition, features of the heart are readily identifiable on an ultrasound image, based on a previously generated electrical activation map of the heart. The electrical activation map is automatically registered with the ultrasound image using information obtained from position sensors in the catheters. Features identifiable on the electrical activation map, presented as points, tags, design lines, and textual identification, are projected into the plane of the ultrasound fan and overlaid on the ultrasound image, thereby clarifying the features that are visible on the latter.

Medical image alignment apparatus, method, and program

Generating, with respect to each of the three-dimensional image and the three-dimensional comparison image, a plurality of tomographic images orthogonal to a central axis of each vertebra of the subject along the central axis, calculating a first characteristic amount representing a profile in a direction orthogonal to the central axis at each point on the central axis based on the tomographic images, calculating a second characteristic amount representing a profile in a direction of the central axis at each point on the central axis based on the tomographic images, calculating a third characteristic amount representing regularity of disposition of each vertebra at each point on the central axis based on the calculated first and second characteristic amounts, and aligning positions of the third characteristic amount calculated from the three-dimensional image and the third characteristic amount calculated from the three-dimensional comparison image along the central axis.

Method and System For Patient-Specific Modeling of Blood Flow

Embodiments include a system for planning treatment for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of an anatomical structure of the patient, create a three-dimensional model representing at least a portion of the anatomical structure of the patient based on the patient-specific data, and determine a first fractional flow reserve within the anatomical structure of the patient based on the three-dimensional model and information regarding a physiological condition of the patient. The at least one computer system may be further configured to receive input from a user regarding a plan of treatment, modify the physiological condition of the patient based on the received input, and determine a second fractional flow reserve within the anatomical structure of the patient based on the modified physiological condition of the patient.

Image generation system, image generation method, and information storage medium

An image generation system includes a captured image acquisition section that acquires a captured image captured by an imaging section, a depth information acquisition section that acquires depth information about a photographic object observed within the captured image, an object processing section that performs a process that determines a positional relationship between the photographic object and a virtual object in a depth direction based on the acquired depth information, and synthesizes the virtual object with the captured image, and an image generation section that generates an image in which the virtual object is synthesized with the captured image.

Apparatus and method for airway registration and navigation

A surgical instrument navigation system is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient. The surgical instrument navigation system includes: a surgical instrument; an imaging device which is operable to capture scan data representative of an internal region of interest within a given patient; a tracking subsystem that employs electro-magnetic sensing to capture in real-time position data indicative of the position of the surgical instrument; a data processor which is operable to render a volumetric, perspective image of the internal region of interest from a point of view of the surgical instrument; and a display which is operable to display the volumetric perspective image of the patient.

Calibration Devices and Methods of Use Thereof

The present invention relates to calibration devices and to methods of using these devices.

Methods and Systems for Estimation of Compression Noise

Aspects of the present invention are related to systems and methods for determining the compression noise present in an image or frame in a video sequence.

Systems and methods for multilayer imaging and retinal injury analysis

Systems and methods are provided for imaging an eye and identifying retinal or subretinal features that may be indicative of pathologies such as macular degeneration and traumatic brain injury. An infrared or near-infrared image of an eye is interdependently smoothed and segmented and attributes of the image are determined. The attributes are indicative of retinal or subretinal features.

Foreground/Background Separation Using Reference Images

A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background. In accordance with the assigning, one or more processed images are rendered based on the first image or the second image, or both.

Method and System for Vascular Landmark Detection

The present invention provides a method and system for vascular landmark detection in CT volumes. A CT volume is received and an initial position of a plurality of vascular landmarks is detected. The initial position of each of the plurality of vascular landmarks is then adjusted in order to position each vascular landmark inside a vessel lumen. A new position of each of the plurality of vascular landmarks representing the adjusted initial positions is output.

Image Processing Apparatus and Method, and Program

The present invention relates to an image processing apparatus and method, and a program that are capable of more appropriately evaluating the image-capture state of an image. A blur degree score calculation unit 23 through to a chroma score calculation unit 27 extract a feature quantity of a pre-specified feature from an input image, and calculate a feature-by-feature score indicating an evaluation for the input image on the basis of the feature. For example, the luminance score calculation unit 24 extracts, as a feature quantity, a luminance value from the input image, and calculates a luminance score indicating an evaluation based on the distribution of the luminance values in the subject portion of the input image. The overall score calculation unit 28 calculates an overall score indicating the evaluation of the image-capture state of the input image from each feature-by-feature score. As described above, when each feature-by-feature score is to be calculated, by extracting each feature quantity and obtaining a score from the area of the input image suitable for the feature, it is possible to more appropriately evaluate the input image. The present invention can be applied to an image processing apparatus.

Apparatus and method for detecting examination tissue using ultrasound signal

An apparatus for detecting an examination tissue using an ultrasound signal is disclosed. The apparatus includes a scanning unit to generate an image related to an object, using the ultrasound signal, a sampling unit to convert a resolution of the generated image, and a controlling unit to retrieve an n-number of figure lines from the resolution-converted image and thereby determine whether each of the retrieved figures line is an examination tissue, wherein n is a natural number.

Methods of producing laser speckle contrast images

Methods of imaging are provided. In some embodiments, the methods may comprise obtaining a raw speckle image of a sample, converting the raw speckle image to a laser speckle contrast image using a laser speckle contrast algorithm, and converting a laser speckle contrast image to a relative correlation time image using a relative correlation time algorithm.

Computer-readable storage medium having image processing program stored therein, image processing apparatus, image processing system, and image processing method

When an image of a marker existing in a real space is taken by using an outer camera, an image of a plurality of virtual characters which is taken by a virtual camera is displayed on an upper LCD so as to be superimposed on a taken real image of the real space. The virtual characters are located in a marker coordinate system based on the marker, and when a button operation is performed by a user on a game apparatus, the position and the orientation of each virtual character are changed. Then, when a button operation indicating a photographing instruction is provided by the user, an image being displayed is stored in a storage means.

Medical image processing apparatus and medical image processing method

A medical image processing apparatus is a medical image processing apparatus performing image segmentation processing for a medical image including: a feature value calculating unit that calculates at least one feature value from the medical image; a category setting unit that sets, on the basis of the feature value calculated by the feature value calculating unit, plural categories in the medical image; a parameter setting unit that sets, on the basis of the feature value calculated by the feature value calculating unit, a parameter for each of areas of the medical image respectively classified into the categories set by the category setting unit; and an image segmenting unit that performs the image segmentation processing for the medical image according to an arithmetic operation of employing a dynamic contour model specified according to the number of categories set by the category setting unit and parameters set by the parameter setting unit.

Image processing apparatus and image processing method

An image processing apparatus according to the present invention includes a pixel selection unit adapted to select a pixel of interest from an image; a contrast feature value calculation unit adapted to calculate, as a contrast feature value, a value which represents an amount of change in contrast in a local region including the pixel of interest; a geometric feature value calculation unit adapted to calculate, as a geometric feature value, a value of an index which indicates whether or not a linear or massive structure is contained in the local region; an evaluation value calculation unit adapted to calculate an evaluation value by weighting each of the contrast feature value and the geometric feature value; and a region extraction unit adapted to extract a candidate region estimated to contain the linear or massive structure from the image based on a calculation result of the evaluation value.

3-dimensional (3d) ultrasound system using image filtering and method for operating 3d ultrasound system

Provided are a 3-dimensional (3D) ultrasound system using image filtering and a method for operating the 3D ultrasound system. The 3D ultrasound system using image filtering may include a scanning unit to generate a volume image of an object, a detecting unit to detect a contour line in each of ‘n’ first slice images extracted from the volume image, ‘n’ being a natural number, and a rendering control unit to correct the ‘n’ first slice images into ‘n’ second slice images by removing a non-feature region based on the contour line, and to combine and render the ‘n’ second slice images.

Rear vision system for a vehicle

A rear vision system for a vehicle includes a rear backup video camera and a display device. A control activates display of captured video images by the display device when a transmission of the vehicle is shifted into reverse gear and deactivates display of the video images upon shifting of the vehicle transmission out of reverse gear once a threshold deactivation condition is met. The threshold deactivation condition is at least one of (a) forward travel of the vehicle exceeding a threshold speed of forward movement after the vehicle transmission has been shifted out of reverse gear, (b) forward travel of the vehicle exceeding a threshold distance of forward movement after the vehicle transmission has been shifted out of reverse gear and (c) a threshold period of time elapsing after the vehicle transmission has been shifted out of reverse gear, the threshold period of time constituting a linger time.

Method and apparatus for assessing motion correction

A method for evaluating the effectiveness of a motion correction procedure includes acquiring an imaging dataset of an object using an imaging system, identifying a motion affected portion of the imaging dataset, motion correcting the identified portion to generate a motion corrected imaging dataset, and displaying both the identified portion and the motion corrected imaging dataset on a display device in a comparable manner or format. A system and computer readable medium for implementing the method are also described herein.

Workstations with circuits for generating images of global injury

Physician interactive workstations with global voxel distribution visualization may also include one or more of a 3-D color scale image of a population of voxel in target regions, organs or systems. The workstation may be configured to evaluate intensity or other measures of voxels of patient images associated with tissue for early detection of a global injury.

Device sizing support during interventions

The invention relates to a method and an apparatus for providing device sizing support, the method comprising obtaining an X-ray image of a vessel, introducing a guide wire having a radiopaque wire tip into the vessel, obtaining an X-ray image of the wire tip, segmenting the wire tip when it passes through the vessel, and providing sizing information relating to the size of the vessel based on the size of the wire tip. The imaging system according to the invention includes means providing functionality for performing the method according to the invention.

Method for analyzing biological specimens by spectral imaging

A method for analyzing biological specimens by spectral imaging to provide a medical diagnosis includes obtaining spectral and visual images of biological specimens and registering the images to detect cell abnormalities, pre-cancerous cells, and cancerous cells. This method eliminates the bias and unreliability of diagnoses that is inherent in standard histopathological and other spectral methods. In addition, a method for correcting confounding spectral contributions that are frequently observed in microscopically acquired infrared spectra of cells and tissue includes performing a phase correction on the spectral data. This phase correction method may be used to correct various types of absorption spectra that are contaminated by reflective components.

Automated wafer defect inspection system and a process of performing such inspection

An automated defect inspection system has been invented and is used on patterned wafers, whole wafers, broken wafers, partial wafers, sawn wafers such as on film frames, JEDEC trays, Auer boats, die in gel or waffle packs, MCMs, etc., and is specifically intended and designed for second optical wafer inspection for such defects as metalization defects (such as scratches, voids, corrosion, and bridging), diffusion defects, passivation layer defects, scribing defects, glassivation defects, chips and cracks from sawing, solder bump defects, and bond pad area defects.

Automatically tracking user movement in a video chat application

A system for automatically tracking movement of a user participating in a video chat application executing in a computing device is disclosed. A capture device connected to the computing device captures a user in a field of view of the capture device and identifies a sub-frame of pixels identifying a position of the head, neck and shoulders of the user in a capture frame of a capture area. The sub-frame of pixels is displayed to a remote user at a remote computing system who is participating in the video chat application with the user. The capture device automatically tracks the position of the head, neck and shoulders of the user as the user moves to a next location within the capture area. A next sub-frame of pixels identifying a position of the head, neck and shoulders of the user in the next location is identified and displayed to the remote user at the remote computing device.

Precision solder resist registration inspection method

A method is disclosed for operating a machine vision inspection system to determine a fluorescent imaging height for acquiring a fluorescent image for repeatably determining the location of a feature within the fluorescent material. The height of an exposed workpiece portion exposed outside of the fluorescent material is determined (e.g., using a height sensor or autofocus operations). The determined height is repeatable. The exposed portion has a characteristic height relative to the fluorescent material and/or features located therein. The fluorescent imaging height, which may be inside the fluorescent material, is determined relative to the determined height of the exposed portion. The fluorescent imaging height is determined such that it enhances the detection of the desired feature located within the fluorescent material in the resulting fluorescent image. For a variety of workpieces, the method provides automatic acquisition of appropriately focused fluorescent image more reliably than previously known methods.

Information processing apparatus and information processing method and program for them

Disclosed herein is an information processing apparatus including: a lesion progress rate recognition section configured to perform prescribed image recognition processing on a plurality of entered medical images, thereby recognizing the lesion progress rate that represents the rate of progress of the disease-induced change in living body; and a presentation control section configured to cause a presentation section to present the medical images according to the lesion progress rate which has been recognized by the lesion progress rate recognition section.

Lock in thermal laser stimulation through one side of the device while acquiring lock-in thermal emission images on the opposite side

Controlled amount of heat is injected into a stacked die using a light beam, and the propagated heat is measuring with LIT camera from the other side of the die. The thermal image obtained can be characterized so that it can be used to calibrate the phase shift from a given stack layer, or can be used to identify defects in the stacked die. The process can be repeated for each die in the stack to generate a reference for future testing. The thermal image can be investigated to detect faults, such as voids in vias, e.g., TSV.

Image recognition apparatus

An image recognition part of an image recognition apparatus recognizes an object based on a target area in an outside-vehicle image obtained by a camera installed in a vehicle. A position identifying part identifies an optical axis position of the camera relative to the vehicle based on the outside-vehicle image, and an area changing part changes a position of the target area in the outside-vehicle image according to the optical axis position of the camera. Therefore, it is possible to recognize an object properly based on the target area in the outside-vehicle image even though the optical axis position of the camera is displaced.

Method and system of video object tracking

Methods and systems are provided to determine a target tracking box that surrounds a moving target. The pixels that define an image within the target tracking box can be classified as background pixels, foreground pixels, and changing pixels which may include pixels of an articulation, such as a portion of the target that moves relatively to the target tracking box. Identification of background image pixels improves the signal-to-noise ratio of the image, which is defined as the ratio between the number of pixels belonging to the foreground to the number of changing pixels, and which is used to track the moving target. Accordingly, tracking of small and multiple moving targets becomes possible because of the increased signal-to-noise ratio.

Computer aided detection of architectural distortion in mammography

A method for detecting architectural distortion within mammographic image data. The method identifies breast tissue within the image data, generates an orientation field and a corresponding magnitude field within the identified breast tissue and generates a feature map by processing the orientation field with a phase portrait model at one or more image scales. The method identifies one or more architectural distortion features according to the generated feature map and displays the one or more identified architectural distortion features.

Methods and Systems for Processing a Video for Stabilization and Retargeting

Methods and systems for processing a video for stabilization and retargeting are described. A recorded video may be stabilized by removing shake introduced in the video, and a video may be retargeted by modifying the video to fit to a different aspect ratio. Constraints can be imposed that require a modified video to contain pixels from the original video and/or to preserve salient regions. In one example, a video may be processed to estimate an original path of a camera that recorded the video, to estimate a new camera path, and to recast the video from the original path to the new camera path. To estimate a new camera path, a virtual crop window can be designated. A difference transformation between the original and new camera path can be applied to the video using the crop window to recast the recorded video from the smooth camera path.

Fingertip tracking for touchless user interface

In general, this disclosure describes techniques for providing a gesture-based user interface. For example, according to some aspects of the disclosure, a user interface generally includes a camera and a computing device that identifies and tracks the motion of one or more fingertips of a user. In some examples, the user interface is configured to identify predefined gestures (e.g., patterns of motion) associated with certain motions of the user's fingertips. In another example, the user interface is configured to identify hand postures (e.g., patterns of showing up of fingertips). Accordingly, the user can interact with the computing device by performing the gestures.

Video surveillance

A video surveillance system comprises two or more video cameras each providing a video signal, the cameras each being positioned at a respective known location; a motion detector to detect image motion of an image feature within the field of view of one of the video cameras and for deriving a corresponding physical motion of an object represented by the image feature; and a motion predictor to predict the physical motion of the object with respect to the known locations of the cameras so as to derive an expected time when the object may be observed in the field of view of another one of the video cameras, in which the motion predictor is responsive to routing data defining possible routes from the observed location of the object to the field of view of another of the cameras.

Method for optical pose detection

The tracking and compensation of patient motion during a magnetic resonance imaging (MRI) acquisition is an unsolved problem. A self-encoded marker where each feature on the pattern is augmented with a 2-D barcode is provided. Hence, the marker can be tracked even if it is not completely visible in the camera image. Furthermore, it offers considerable advantages over a simple checkerboard marker in terms of processing speed, since it makes the correspondence search of feature points and marker-model coordinates, which are required for the pose estimation, redundant. Significantly improved accuracy relative to a planar checkerboard pattern is obtained for both phantom experiments and in-vivo experiments with substantial patient motion. In an alternative aspect, a marker having non-coplanar features can be employed to provide improved motion tracking. Such a marker provides depth cues that can be exploited to improve motion tracking. The aspects of non-coplanar patterns and self-encoded patterns can be practiced independently or in combination.

method for detecting and adapting video processing for far-view scenes in sports video

A method is disclosed for analyzing video to detect far-view scenes in sports video to determine when certain image processing algorithms should be applied. The method comprises analyzing and classifying the fields of view of images from a video signal, creating and classifying the fields of view of sets of sequential images, and selectively applying image processing algorithms to sets of sequential images representing a particular type of field of view.

Anatomy modeling for tumor region of interest definition

A hot spot detection system for automatically segmenting and quantifying hot spots in functional images includes a segmentation unit ( 76 ) to segment an anatomical image representation ( 72 ) into regions corresponding to anatomical structures of a subject. A hot spot detection unit ( 90 ) detects regions of high uptake from a functional second image representation ( 74 ). The regions of high tracer uptake indicate high metabolic activity which maybe caused by potentially hazardous tumor lesions or other malignant processes. However, a number of normally functioning organs uptake high amounts of imaging tracer, particularly FDG. Therefore, a suppression unit ( 102 ) suppresses regions of high tracer uptake in the functional second image representation based on the results of a classification unit ( 101 ). The classification unit classifies the regions of high tracer uptake according to their position relative to the anatomical structures segmented from the anatomical first image representation. The remaining un-suppressed regions of high uptake are identified by an identification unit ( 106 ) as one of potential lesion and non-potential lesion.

Systems And Methods For Applying Model Tracking to Motion Capture

An image such as a depth image of a scene may be received, observed, or captured by a device and a model of a user in the image may be generated. The model may then be adjusted to mimic one or more movements by the user. For example, the model may be a skeletal model having joints and bones that may be adjusted into poses corresponding to the movements of the user in physical space. A motion capture file of the movement of the user may be generated in real-time based on the adjusted model. For example, a set of vectors that define the joints and bones for each of the poses of the adjusted model may be captured and rendered in the motion capture file.

Projection image area detecting device

A projection image area detecting device includes a projection image area detecting unit configured to detect marker image areas in a photographed image that is obtained by photographing a projection image area including a projection image. The marker image areas include marker images that are used for identifying four corners of the projection image area. The projection image area detecting unit detects the marker image areas by identifying a color included in the marker image areas that continues to change as time passes.

Device and method for superimposing patterns on images in real time, particularly for guidance by location

The invention relates to a device for superimposing known patterns, characteristic of a region, on (real) images of said region. The device comprises, a memory in which patterns are stored, which are representative of a selected region, of known position and orientation with relation to a common reference and processing means, for determining a pattern representative of the selected portion in the memory, on receipt of the designation of at least one portion of an observed image of the selected region, taken at a selected angle and at least one representative attribute of said region, taking account of the attribute selected, then superimposing the determined pattern on the selected portion of the image taking account of the selected angle.

Ultrasonic diagnostic apparatus and region-of-interest

Disclose is an ultrasonic diagnostic apparatus which transmits/receives an ultrasonic wave to/from a region including a carotid artery of an object, images an ultrasonic image, and comprises a thickness measurement unit configured to measure the thickness of an intima-media complex from the ultrasonic image, the ultrasonic diagnostic apparatus being provided with a region-of-interest setting unit configured to scan the ultrasonic image and set a region of interest including the intima-media complex on the ultrasonic image on the basis of the degree of concentration of contour slate points of the carotid artery, wherein the thickness measurement unit measures the thickness of the intima-media complex on the basis of boundaries within the set region of interest.

Vehicle surroundings awareness support device

Provided is a vehicle surroundings awareness support device capable of providing a prompt for a driver to intuitively direct their attention, without the driver feeling hassled. Captured images comprising a plurality of frames taken sequentially by an onboard camera for imaging the surroundings of the vehicle are received; an optical flow is computed on the basis of feature points contained in the plurality of frames imaged at different times; moving objects in the surroundings of the vehicle are detected on the basis of the optical flow; and a display for showing movement trajectories for the moving objects is superimposed on the captured images on the basis of the optical flow.

Image processing apparatus and method

An image processing apparatus which processes a plurality of tomograms obtained by acquiring, along a direction crossing at a right angle a section along the thickness direction of a retina, a plurality of tomograms each including the section, detects a layer structure in the retina from image information of respective lines of the tomograms along the thickness direction, and appends structure information to the respective lines based on the layer structures detected for the respective lines. The image processing apparatus maps the structure information of the respective lines of the plurality of tomograms onto a plane crossing the thickness direction at a right angle, thereby generating a two-dimensional image based on the structure information.

Method and System for Heart Isolation in Cardiac Computed Tomography Volumes for Patients with Coronary Artery Bypasses

A method and system for isolating the heart in a 3D volume, such as a cardiac CT volume, for patients with coronary artery bypasses is disclosed. An initial heart isolation mask is extracted from a 3D volume, such as a cardiac CT volume. The aortic root and ascending aorta are segmented in the 3D volume, resulting in an aorta mesh. The aorta mesh is expanded to include bypass coronary arteries. An expanded heart isolation mask is generated by combining the initial heart isolation mask with an expanded aorta mask defined by the expanded aorta mesh.

Microscope, region determining method, and program

A microscope includes a dark-field illumination system that irradiates dark-field illumination light to a preparation in which a specimen is encapsulated between slide glass and cover glass by using an encapsulant, and an imaging unit that takes a dark-field image of the preparation irradiated with the dark-field illumination light. The microscope further includes a region determiner that detects the boundary between the encapsulant and air included between the slide glass and the cover glass based on the taken dark-field image and determines a region other than a region of the air as a region of interest for the specimen.

Vehicular video mirror system

A video mirror system for a vehicle includes an interior rearview mirror assembly having an electrochromic reflective element and a video display screen disposed to the rear of the reflective element. The video display screen, when actuated, emits light that passes through a transflective mirror reflector of the reflective element to be visible to a driver of the vehicle viewing the reflective element. The video display screen includes a thin film transistor liquid crystal display element that is back lit by a plurality of white light emitting light emitting diodes. A camera having a field of view rearward of the vehicle is mounted at the rear of the vehicle and, during a reversing maneuver of the vehicle, a video output of the camera is displayed by the video display screen as video images so as to assist the driver in reversing the equipped vehicle.

Method for detection of specimen region, apparatus for detection of specimen region, and program for detection of specimen region

A method for detecting the specimen region includes the first step for the first region detecting unit to detect the first region which is a region with contrast in the first image of an object for observation which is photographed under illumination with visible light, the second step for the second region detecting unit to detect the second region which is a region with contrast in the second image of the object for observation which is photographed under illumination with ultraviolet light, and the third step for the specimen region defining unit to define, based on the first and second regions mentioned above, the specimen region where there exists the specimen in the object for observation.

Defect image processing apparatus, defect image processing method, semiconductor defect classifying apparatus, and semiconductor defect classifying method

A defect image processing apparatus uses a normalized cross correlation to image-match a layout image ( 52 ) acquired from a design data with an image acquired by removing, from a defect image ( 53 ), the defect area portions thereof, and displays, as a result of that matching, a layout image and defect image ( 54 ) on the display device. In the displayed layout image & defect image ( 54 ), not only the layout image, the layer of which is the same as that of the defect image ( 53 ), but also a layout image of another layer is displayed superimposed on the defect image ( 53 ). This makes it easier to analyze the factor of a systematic defect having occurred due to a positional relationship with another layer.

Technique for determining the state of a cell aggregation image processing program and image processing device using the technique, and method for producing a cell aggregation

An image processing program (GP) attains (S 10 ) time lapse images, extracts (S 20 ) a cell aggregation from each of the obtained images, and calculates (S 50 ), for the entire region of the cell aggregation, the spatial distribution in pixel values and temporal change in pixel values of a small region in the extracted cell aggregation. The program determines (S 70 ) the state of change of the cell aggregation toward becoming multi-layered, on the basis of the calculated spatial distribution and time lapse change of pixel values, and outputs (S 80 ) the results of the determination. The image processing program (GP) is configured so as to determine and output, from time lapse images, the state of change of the cell aggregation toward becoming multi-layered.

System and method for measuring flight information of a spherical object with high-speed stereo camera

Disclosed is a method for automatically extracting centroids and features of a spherical object required to measure a flight speed, a flight direction, a rotation speed, and a rotation axis of the spherical object in a system for measuring flight information of the spherical object with a high-speed stereo camera. In order to automatically extract the centroids and the features of the spherical object, the present invention may automatically extract the centroid and the feature by detecting only the pixel of the foreground image including the spherical object generated by excluding the motionless background image from each camera image, sorting the interconnected pixels among the pixels of the detected foreground image into the independent pixel cluster, and then, using, in the extraction of the centroid and the feature, only one pixel cluster having a size similar to the actual spherical object.

Method and system for automatic object detection and subsequent object tracking in accordance with the object shape

A method and system for automatic object detection and subsequent object tracking in accordance with the object shape in digital video systems having at least one camera for recording and transmitting video sequences. In accordance with the method and system, an object detection algorithm based on a Gaussian mixture model and expanded object tracking based on Mean-Shift are combined with each other in object detection. The object detection is expanded in accordance with a model of the background by improved removal of shadows, the binary mask generated in this way is used to create an asymmetric filter core, and then the actual algorithm for the shape-adaptive object tracking, expanded by a segmentation step for adapting the shape, is initialized, and therefore a determination at least of the object shape or object contour or the orientation of the object in space is made possible.

Image processing apparatus for processing tomographic image of subject's eye, imaging system, method for processing image, and recording medium

An image processing apparatus includes a detection unit configured to detect layers on the retina based on tomographic images of the retina, an acquisition unit configured to acquire a region having a larger curvature of the boundary surface between the retina and the corpus vitreum than a threshold value, and a determination unit configured to determine an optic disc of the retina based on the optical disc including a region where a specific layer is not detected by the detection unit and the region acquired by the acquisition unit.

Generating a suitable model for estimating patient radiation dose resulting from medical imaging scans

Techniques are disclosed for estimating patient radiation exposure during computerized tomography (CT) scans. More specifically, embodiments of the invention provide efficient approaches for generating a suitable patient model used to make such an estimate, to approaches for estimating patient dose by interpolating the results of multiple simulations, and to approaches for a service provider to host a dose estimation service made available to multiple CT scan providers.

method and system of determining a grade of nuclear cataract

A method for determining a grade of nuclear cataract in a test image. The method includes: (1a) defining a contour of a lens structure in the test image, the defined contour of the lens structure comprising a segment around a boundary of a nucleus of the lens structure; (1b) extracting features from the test image based on the defined contour of the lens structure in the test image; and (1c) determining the grade of nuclear cataract in the test image based on the extracted features and a grading model.

Method of detecting defect in pattern and apparatus for performing the same

A method and apparatus for detecting a defect in a pattern are provided. The method includes: obtaining a pattern image from a pattern in a region of interest on a semiconductor substrate and obtaining a reference image are obtained; matching the obtained pattern image and the obtained reference image to select a pixel group including pixels indicating defect information of the pattern image; adjusting a defect detection threshold of the selected pixel group; comparing the obtained pattern image and the obtained reference image to detect a pattern defect in a detection region corresponding to the selected pixel group of the pattern image, according to the adjusted defect detection threshold.

Image correction system and method

In an image correction method, an image of an object is captured, and a standard image of the object is obtain from a storage system of a computing device. A target area contains most image characteristics of the object is determined from the standard image of the object, and a standard pixel block having N×N pixels is extracted from the target area. The captured image is divided into M pixel blocks having N×N pixels. Each of the pixel blocks of the captured image are analyzed with the standard pixel block. A pixel value of each pixel of the captured image is corrected according the analysis, and the corrected image is output to a display device of a computing device for display.

Endoscope system, processor of endoscope system, and image producing method

First illumination light of a first wavelength range, in which light absorption coefficient of blood hemoglobin varies with oxygen saturation thereof, is projected into a test subject body, to capture a first image signal from the first illumination light as reflected from inside the test subject body. Then second illumination light of a second wavelength range different from the first wavelength range is projected into a test subject body, to capture a second image signal from the second illumination light as reflected from inside the test subject body. A subject image of the test subject is produced from the second image signal. Oxygen saturation levels of the test subject are calculated using the first and second image signals. According to the calculated oxygen saturation levels, color properties of the subject image are changed to produce an oxygen saturation image.

Validation analysis of human target

Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.

Blur detection with local sharpness map

A single-ended blur detection probe and method with a local sharpness map for analyzing a video image sequence uses two sets of edge filters, one for “fast edges” and the other for “slow edges.” Each set of edge filters includes a horizontal bandpass filter, a vertical bandpass filter and a pair of orthogonal diagonal filters where the frequency response of the fast edge filters overlap the frequency response of the slow edge filters. The video image sequence is input to each filter of each set, and the output absolute values are combined with weighting factors to produce a slow edge weighted sum array and a fast edge weighted sum arra. The respective weighted sum arrays are then decimated to produce a slow edge decimated array and a fast edge decimated array. The ratio of the maximum difference value between the decimated arrays and the maximum value from the fast edge decimated array, weighted by an appropriate factor, produces a localized maximum sharpness value, the log of which produces a dimensionless blur value.

Summary View of Video Objects Sharing Common Attributes

Disclosed herein are a method, system, and computer program product for displaying on a display device ( 214, 410 ) a track summary ( 411, 412 ) of an object in a scene of a video sequence. The method includes the steps of: determining a plurality of detected track elements of the object in the scene of the video sequence; receiving a selection criterion; identifying at least one characteristic of interest of the object, based on the selection criterion; selecting a track element from the plurality of detected track elements, said selected track element corresponding to the at least one identified characteristic of interest; determining a parameter of the selected track elements depending on the at least one characteristic of interest; and displaying the track summary derived from said detected track elements, based on the determined parameter.

Apparatus and method for creating 3d content for oriental painting

Disclosed herein are an apparatus and method for creating 3D content for an Oriental painting. The apparatus includes a 2D image analysis unit, a 3D information extraction unit, a content creation unit, and a 3D content conversion unit. The 2D image analysis unit receives previous knowledge information, and analyzes 2D information about at least one of an empty space, light and shading, and a composition of an image of the Oriental painting based on the previous knowledge information. The 3D information extraction unit extracts 3D information about at least one of a distance, a depth, a viewpoint, and a focus of the Oriental painting image. The content creation unit creates content for the Oriental painting image based on the analysis information and the 3D information. The 3D content conversion unit converts the content for the Oriental painting image into 3D content based on the 3D information.

Artifact management in rotational imaging

A method for artifact management in a rotational imaging system is presented. The method includes the steps of acquiring data employing a helical scanning pattern over N revolutions, where N is greater than 1, and detecting at least one artifact in the acquired data of each revolution. The method further includes segmenting the data acquired over N revolutions into N-1 data frames each bounded by at least one of the at least one artifacts.

Method of ct angiography to visualize trans-osseous blood vessels

A method of CT angiography to visualize trans-osseous blood vessels is disclosed herein. This method for bone elimination and the visualization of trans-osseous blood vessels in two-scan (pre- and post-contrast) CT angiography is invented.

Forming 3d models using two images

A method for determining a three-dimensional model from two images comprising: receiving first and second images captured from first and second viewpoints, respectively, each image including a two-dimensional image together with a corresponding range map; identifying a set of corresponding features in the first and second two-dimensional images; removing any extraneous corresponding features in the set of corresponding features responsive to the first and second range maps to produce a refined set of corresponding features; determining a geometrical transform for transforming three-dimensional coordinates for the first image to be consistent three-dimensional coordinates for the second image responsive to three-dimensional coordinates for the refined set of corresponding features, the three-dimensional coordinates comprising two-dimensional pixel coordinates from the corresponding two-dimensional image together with a range coordinate from the corresponding range map; and determining a three-dimensional model responsive to the first image, the second image and the geometrical transform.

Reference image display method for ultrasonography and ultrasonic diagnosis apparatus

An ultrasonic image is captured by an ultrasonic probe. A reference image is obtained by extracting a tomographic image corresponding to the scan plane of the ultrasonic image from volume image data that is pre-obtained by a diagnostic imaging apparatus and that is stored in a volume-data storing unit. The ultrasonic image and the reference image are displayed on the same screen. In this case, of the reference image, a portion corresponding to the view area of the ultrasonic image is extracted and the resulting reference image having the same region as the ultrasonic image is displayed as a fan-shaped image.

Vascular roadmapping

Cardiac roadmapping consists in correctly overlaying a vessel map sequence derived from an angiogram acquisition onto a fluoroscopy sequence used during PTCA intervention. This enhanced fluoroscopy sequence however suffers from several drawbacks such as breathing motion, high noise level, and most of all suboptimal contrast-enhanced mask due to segmentation defaults. This invention proposes to reverse the process and to locally overlay the intervention device as seen in fluoroscopy onto an optimal contrast-enhanced image of a corresponding cycle. This drastically reduces or suppresses the breathing motion, it provides the high image quality standard of angiograms, and avoids segmentation defaults. This proposal could lead to a brand new navigation practice in PCI procedures.

Image processing device, image processing method and program

An image processing device includes: a first feature amount extraction unit configured to extract a first feature amount from an image; a position detection unit configured to detect observation positions from the image based on a position detection dictionary, and the first feature amount extracted from the image; a second feature amount extraction unit configured to extract a second feature amount from the observation position; an observation-order determining unit configured to determine the order of observing the observation positions based on an order generation dictionary, and respective second feature amounts of the observation positions; and an image generation unit configured to generate observation images for displaying the observation positions in the observation order based on the image, the detected observation positions and the determined observation order.

Machine Tool - Based, Optical Coordinate Measuring Machine Calibration Device

A calibration artifact for an inspection system is provided. The calibration artifact comprises a base adapted for placement within a holding fixture of an inspection system during calibration, a sphere operatively connected to the base, and a light source operatively connected to the base. The base, the sphere, and the light source are removable from the inspection system after calibration.

Component mounting system and mounting state inspection method in the component mounting system

Provided is a component mounting system and a mounting state inspection method in the component mounting system in which accurate mounting state inspection can be achieved with good operability. A board image capturing operation for image-capturing an inspection range of a board to be inspected to acquire captured image data is executed on the board before and after mounting work is executed on the board by inspection modules M 3 A and M 6 A. A difference between pre-mounting image data and post-mounting image data thus acquired is calculated so that each component is extracted by a component extraction processing portion 3 a . The shape and position of the extracted component are compared with inspection data indicating the shape and position of a normal component stored in advance so that whether the mounting state of each component on the board is good or not, is determined by a discrimination processing portion 3 b . Consequently, unstable elements in a system for recognizing and extracting each component based on color information of the component and the board can be eliminated to achieve accurate mounting state inspection with good operability.

Depth disambiguation of interventional instruments from a single x-ray projection image and its calibration

X-ray images are projective, meaning that the 3D geometry is flattened along projection lines going from the source to the detector. In particular procedures, such as mapping or ablation, the interventional instrument lies on the wall of the organ. Using a 3D segmentation of this organ registered to the x-ray, the instrument necessarily lies on the intersection of this surface with its projection line. The line and the surface typically intersect with a segmentation surface at a discrete number of points (typically 2 for shapes such as the anterior of the LA). One then has just to disambiguate between these different possible locations to determine the exact location of the instrument. In this invention, we propose to use the apparent width of the instrument measured in x-ray images to accomplish this task.

Systems and methods for matching, naming, and displaying medical images

A method of matching medical images according to user-defined matches rules. In one embodiment, the matched medical images are displayed according user-defined display rules such that the matched medical images may be visually compared in manner that is suitable to the viewer's viewing preferences.

Method and system for obtaining a first signal for analysis to characterize at least one periodic component thereof

A method of facilitating obtaining a first signal ( 42;50 a - n ) for analysis to characterize at least one periodic component thereof, includes obtaining at least two second signals ( 18 - 20 ) representative of intensities of captured electromagnetic radiation, each corresponding to a respective different radiation frequency range. The first signal ( 42;50 a - n ) is at least derivable from an output signal ( 31 ) obtainable by applying a transformation ( 22,26,30 ) to the second signals ( 18 - 20;55 - 57 ) such that any value of the output signal ( 31 ) is based on values from each respective second signal ( 18 - 20;55 - 57 ) at corresponding points in time. The method further includes obtaining at least one value of at least one variable determining influences of at least components of respective second signals ( 18 - 20;55 - 57 ) on the output signal ( 31 ) when the signals corresponding to the second signals ( 18 - 20;55 - 57 ) are captured and the transformation ( 22,26,30 ) is applied, by at least one of: (i) analyzing at least one of the second signals ( 18 - 20;55 - 57 ), an output signal ( 31 ) obtained by applying the transformation ( 22,26,30 ) to the second signals ( 18 - 20 ) and a first signal ( 42;50 a - n ) derived from the output signal ( 31 ) and using the analysis to select at least one value of at least one parameter ( 54 ) corresponding to a respective one of the variables; and (ii) calculating values of at least one time-varying factor corresponding to a respective one of the variables, each factor value based on at least one second signal value, and applying each factor in an operation in at least one of a number of parallel sequences of operations comprising at least one such operation and taking a signal corresponding to a respective one of the second signals ( 55 - 57 ) as input.

Variable rate sprayer system and method of variably applying agrochemicals

Systems, methods and computer-readable media are provided for controlling a variable-rate sprayer for precision agriculture. Highly efficient digital image processing enables rapid and reliable control of the variable rate sprayer. In one embodiment, image processing uses only a subset of luminance, hue, saturation and intensity textural features to provide rapid image recognition. In another embodiment, an image is decomposed into RGB components and a G is ratio determined. For example, the textural method is useful in growing season where colour differentiation is difficult. The G ratio method is useful in early spring and late fall where colour differentiation is possible. These rapid computationally light methods enable a mobile sprayer system to identify crop or field conditions in real-time and to dispense an appropriate amount of agrochemical in a specific section of the sprayer boom where the target has been detected as the mobile sprayer advances.

Method for aligning a modified document and an original document for comparison and difference highlighting

A method for aligning a modified document and an original document is provided according to an aspect of the present invention. The method includes a step of receiving a first bitmap representative of the modified document, including a first anchor. Additionally, a second bitmap representative of the original document including a second anchor is received. The method also includes the step of deriving a set of first vertex coordinates of the first anchor, and a set of second vertex coordinates of the second anchor. The method further includes the step of transforming the first bitmap to a common reference based upon the first set of vertex coordinates, and the step of transforming the second bitmap to the common reference based upon the second set of vertex coordinates.

Ophthalmic photographing apparatus

An ophthalmic photographing apparatus includes: an interference optical system having a light source, a splitter for splitting light from the light source into measurement light traveling toward an examinee's eye and reference light, and an optical detector for receiving combined light of the measurement light reflected by the examinee's eye and the reference light; an optical scanner arranged in an optical path of the measurement light to scan a photographing region of the examinee's eye with the measurement light; a controller for obtaining a tomographic image of the photographing region by controlling the optical scanner and processing an output signal from the optical detector; and an image processor for obtaining a combined tomographic image by combining a plurality of tomographic images corresponding to a plurality of different incident angles.