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
Réponses (3)
Sean de Wolski
le 15 Avr 2013
doc pca
and
edit pca
10 commentaires
Adam Filion
le 15 Avr 2013
And regular pca, which I forgot about...
Mohamed Moawed
le 15 Avr 2013
Sean de Wolski
le 15 Avr 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
le 15 Avr 2013
Sean de Wolski
le 15 Avr 2013
Turn the images into column vectors. Spatial location does not matter.
Mohamed Moawed
le 15 Avr 2013
Sean de Wolski
le 15 Avr 2013
x = I(:)
where I is your image.
Mohamed Moawed
le 15 Avr 2013
Sean de Wolski
le 15 Avr 2013
Essentially. You need to horizontally concatenate all of your images first.
Mohamed Moawed
le 15 Avr 2013
Adam Filion
le 15 Avr 2013
0 votes
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
le 15 Avr 2013
0 votes
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 commentaires
Mohamed Moawed
le 15 Avr 2013
Image Analyst
le 16 Avr 2013
Sure, you could do it. Would that be useful to you? Why do you want PCA component images anyway?
Mohamed Moawed
le 16 Avr 2013
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