Fast mutual information of two images or signals
Usage: I=mi(A,B), where A and B are equally sized images/signals.
Function hist2 (included) is used to determine the joint histogram of the images/signals.
Assumptions: 1) 0*log(0)=0, 2) mutual information is obtained on the intersection between the supports of partial histograms.
Example (in mi_test.m):
disp('Test: Mutual information between two images')
load mri
A=D(:,:,8);
B=D(:,:,9);
mi(A,B)
disp('Test: Mutual information between two signals')
load garchdata
nasdaq = price2ret(NASDAQ);
nyse = price2ret(NYSE);
mi(nasdaq,nyse)
Zitieren als
Jose Delpiano (2024). Fast mutual information of two images or signals (https://www.mathworks.com/matlabcentral/fileexchange/13289-fast-mutual-information-of-two-images-or-signals), MATLAB Central File Exchange. Abgerufen.
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Plattform-Kompatibilität
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Image Arithmetic >
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Quellenangaben
Inspiriert: Image mutual information, image_MI.m
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Version | Veröffentlicht | Versionshinweise | |
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1.6 | Available as toolbox |
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1.5.0.0 | Speed improvements suggested in comments by Andrew Hill. |
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1.1.0.0 | Added support for signals (1D matrices) and for non-double images. |
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1.0.0.0 | Needed modification of input arguments. Example added. |