autocorr2d

버전 1.0.0.0 (1.71 KB) 작성자: Tristan Ursell
Compute the 2D spatial autocorrelation of a matrix or image using the Wiener - Khintchine Theorem.
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업데이트 날짜: 2018/5/15

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Compute the 2D spatial autocorrelation of a matrix or image I using the Wiener - Khintchine Theorem. The output is the normalized correlation coefficient -1 < C < 1.
The center pixel of A will have C = 1. Using images with odd dimensions will give results that are easier to interpret.
ref: http://mathworld.wolfram.com/Wiener-KhinchinTheorem.html

See detailed examples in the m-file help.

인용 양식

Tristan Ursell (2024). autocorr2d (https://www.mathworks.com/matlabcentral/fileexchange/67348-autocorr2d), MATLAB Central File Exchange. 검색됨 .

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1.0.0.0