Geometric Image Analysis Using Multiscale Statistical Features

Many medical image analysis problems involve pixel classification tasks such as segmentation and landmark identification. This paper describes a methodology for defining an optimal feature space for performing such tasks based on a principled, generalized image decomposition. The methodology is demonstrated on two kinds of test images, and the nature of the optimization is illustrated.