PCA stands for Principal component analysis. It means it will transform your image into several principal components with linear relations based on the higher to lower eigen values. If you want, you can remove some of the components of lower eigen values and reconstruct the image based on the rest components. Then the image will be of reduced dimensionality. Its Matlab code is very simple. If you need help you can contact with me at my email Id: [email protected].
PCA stands for Principal component analysis. It means it will transform your image into several principal components with linear relations based on the higher to lower eigen values. If you want, you can remove some of the components of lower eigen values and reconstruct the image based on the rest components. Then the image will be of reduced dimensionality. Its Matlab code is very simple. If you need help you can contact with me at my email Id: [email protected].