I'm searching a good (and compact) book about multivariate pattern analysis in images with machine learning techniques. I took a machine learning course and used for it the Bishop book but I found it not so great (sometimes difficult).
Now, I don't need the book for a lecture but for a project, so the book should perhaps be more practical oriented and related to multivariate pattern analysis in images (image processing). Proofs are not important. More important is that different algorithms/techniques are presented (e.g. SVM etc.) in an easy way with some explanations and perhaps implementation details.
Does somebody know a good book?
What about the the book "Pattern Classification" from R. Duda, P. Hart, and D. Stork?