Medical images segmentation using region and edges information

Abstract

An important task in image understanding systems is the segmentation process. In this work, we present a low-level algorithm which integrates statistical and spatial information for segmenting chest X-ray images. The goal of this algorithm is to generate a reasonable number of regions in the image to make easier the high-level analysis towards obtaining a symbolic description of the image.