is there a version of Principle Component Analysis for images?
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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
Antworten (3)
Sean de Wolski
am 15 Apr. 2013
doc pca
and
edit pca
10 Kommentare
Adam Filion
am 15 Apr. 2013
And regular pca, which I forgot about...
Mohamed Moawed
am 15 Apr. 2013
Sean de Wolski
am 15 Apr. 2013
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:
Mohamed Moawed
am 15 Apr. 2013
Sean de Wolski
am 15 Apr. 2013
Turn the images into column vectors. Spatial location does not matter.
Mohamed Moawed
am 15 Apr. 2013
Sean de Wolski
am 15 Apr. 2013
x = I(:)
where I is your image.
Mohamed Moawed
am 15 Apr. 2013
Sean de Wolski
am 15 Apr. 2013
Essentially. You need to horizontally concatenate all of your images first.
Mohamed Moawed
am 15 Apr. 2013
Adam Filion
am 15 Apr. 2013
0 Stimmen
I don't know much PCA myself, but I know we have some built-in tools in Statistics and Wavelet toolboxes that may be of use:
http://www.mathworks.com/help/stats/princomp.html http://www.mathworks.com/help/wavelet/ug/multiscale-principal-components-analysis.html
There are also a number of entries on the File Exchange for PCA:
Image Analyst
am 15 Apr. 2013
0 Stimmen
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 Kommentare
Mohamed Moawed
am 15 Apr. 2013
Image Analyst
am 16 Apr. 2013
Sure, you could do it. Would that be useful to you? Why do you want PCA component images anyway?
Mohamed Moawed
am 16 Apr. 2013
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