autocorr2d

Version 1.0.0.0 (1,71 KB) von Tristan Ursell
Compute the 2D spatial autocorrelation of a matrix or image using the Wiener - Khintchine Theorem.
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Aktualisiert 15. Mai 2018

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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.

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2016b
Kompatibel mit allen Versionen
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Version Veröffentlicht Versionshinweise
1.0.0.0