is there a version of Principle Component Analysis for images?

hello everybody, i want to ask about Principle Component Analysis, a tool used for data analysis
is there a version for PCA that is used for analysis the images?
and i want a source code and some examples for that
thanks for your help

回答(3 个)

doc pca
and
edit pca

10 个评论

And regular pca, which I forgot about...
What version are you using? If you are on a relatively old version, use princomp() as Adam suggested.
doc princomp
Or upgrade to the newest release:
yes i used this function: princomp()
but i ask how to use this function on images
thanks for reply
Turn the images into column vectors. Spatial location does not matter.
how??? could you please give me some details
thanks
Essentially. You need to horizontally concatenate all of your images first.
i = imread ('pout.tif'); x = i( : ); y = princomp(x); x = im2double (x); y = princomp(x); imshow (y)
i get no output!!!
what is the wrong here

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The most famous application of PCA to images is eigenfaces: http://en.wikipedia.org/wiki/Eigenface You can essentially construct any face image by a weighted sum of eigenface (PCA) images.

3 个评论

what about another images like fMRI cross-sectional images???
Sure, you could do it. Would that be useful to you? Why do you want PCA component images anyway?
i want it to Analyze some fMRI cross-sectional brain images to early diagnosis Alzahimar Disease

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