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Применить Всего найдено 4. Отображено 4.
25-05-2011 дата публикации

Image II type Schrodinger transformation method

Номер: CN0102073984A
Принадлежит:

The invention relates to an image II type Schrodinger transformation method, which comprises the following steps of: extracting an image with a size of m*n from a storage device of a computer, obtaining a gray scale distribution function I (x), and letting an image II type Schrodinger transformation potential function v (x) =- J . I (x); 2) creating a binary image with a size of m*n; 3) giving constants a and t; 4) calculating I-type discrete Schrodinger transformation in a frequency domain; 5) utilizing a formula to calculate II-type discrete Schrodinger transformation u (x, t) in a spatial domain; 6) using an average gray-scale value of an image u (x, t) as a threshold to binarize so as to obtain a binary image u1 (x, t); 7) letting u2 (x, t) be a target area obtained after primary II type Schrodinger transformation; and 8) obtaining the finally extracted target image u2 (x, t). Compared with the prior art, the method provided by the invention has the main advantages that: the diagonalization ...

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04-07-2012 дата публикации

Image II type Schrodinger transformation method

Номер: CN0102073984B
Принадлежит:

The invention relates to an image II type Schrodinger transformation method, which comprises the following steps of: extracting an image with a size of m*n from a storage device of a computer, obtaining a gray scale distribution function I (x), and letting an image II type Schrodinger transformation potential function v (x) =- J . I (x); 2) creating a binary image with a size of m*n; 3) giving constants a and t; 4) calculating I-type discrete Schrodinger transformation in a frequency domain; 5) utilizing a formula to calculate II-type discrete Schrodinger transformation u (x, t) in a spatial domain; 6) using an average gray-scale value of an image u (x, t) as a threshold to binarize so as to obtain a binary image u1 (x, t); 7) letting u2 (x, t) be a target area obtained after primary II type Schrodinger transformation; and 8) obtaining the finally extracted target image u2 (x, t). Compared with the prior art, the method provided by the invention has the main advantages that: the diagonalization ...

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21-04-2010 дата публикации

Image Schrodinger transformation method and application thereof

Номер: CN0101697227A
Автор: Lou Liantang, Gao Wenliang
Принадлежит:

The invention provides an image Schrodinger transformation method and application thereof. The image Schrodinger transformation method is characterized by comprising the following steps: 1) extracting an image of which a size is m*n from a storage device of a computer to obtain a gray level distribution function I (x, y), and giving a constant at; 2) constructing a distance matrix D=(dpq) through computing software run on the computer, wherein dpq=(p-m/2)2+(q-n/2)2; 3) computing a transfer function H=(hpq) of I-type Schrodinger transformation; 4) computing the Fourier transformation of I (x, y); 5) computing the Fourier transformation of a propagator u (x, y, t) according to the following formula; 6) performing inverse Fourier transformation and delivery on a Fourier transformation result obtained in the step 5) to obtain the propagator u (x, y, t); and 7) reconstructing a transformed image according to the propagator u (x, y, t) and storing the reconstructed image into the storage device ...

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28-01-2015 дата публикации

Method and system for calculating equivalent resistance between any two points in resistance network

Номер: CN104317777A
Принадлежит:

The invention discloses a method and a system for calculating equivalent resistance between any two points in a resistance network, and relates to the field of electrocommunication application. The method comprises the following steps of constructing a Laplacian matrix of the resistance network; partitioning the Laplacian matrix; constructing an (N-1)*N-order matrix B; calculating an (N-1)*N-order matrix (img file='DDA0000586538230000012.TIF' wi='268' he='80' /); constructing an N-order square matrix ; calculating the equivalent resistance Ralpha beta between a node alpha and a node beta in the resistance network according to a formula that Ralpha beta=Xalpha alpha+Xbeta beta-Xalpha beta-Xbeta alpha, wherein Xalpha alpha is an element in the alpha th row and the alpha th column of the N-order square matrix X, Xbeta beta is an element in the beta th row and the beta th column of the N-order square matrix X, Xalpha beta is an element in the alpha th row and the beta th column of the N-order ...

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