2-Dimensional Principle Component Analysis

Hi all

I want to extract the feature vector from image using 2DPCA.

If I use the direct matlab function princomp let sya

img=imread('myimage.bmp'); img=double(rgb2gray(img)); [coeff score latent tsquare]=princomp(img);

then which one is the feature vector in this case?

princomp function is same like the linear transformation like y=Ax.? where A is matrix of mxn and x is n-dimensonal unitary column vector.Bur if I apply manually y is column feature vector.why?

thanks

[Algorithms Analyst]

any comment?????

[Ali Asghar sharifi]

function 'princomp' use for 'PCA' not '2DPCA' and this function removed and you can use function 'pca'.