Geometric Image Analysis Using Multiscale Statistical Features

Applications of Computer Vision in Medical Image Processing

Volume

Papers from the 1994 AAAI Spring Symposium

Contents

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.