Medical Image Segmentation by Evolutionary Approach and Watershed Morphology

Abstract

Segmentation by watershed transform is a fast, robust and widely used in image processing and analysis, but it suffers from over-segmentation. We present in this paper some improvements to this algorithm based on the evolutionary algorithm and mathematical morphology in order to get over this difficulty. The performance of this method is validated on medical images. The results obtained show the good performance of this approach. General TermsMedical image segmentation, over-segmentation, markers controlled watershed. Morphological dilatation.

Medical Image Segmentation by MarkerControlled Watershed and Mathematical Morphology

“…There are two main approaches to segmentation: the frontier approach and the region approach [13,14]. The segmentation by watershed combine the two approaches [1,2].This is a powerful technique for rapid detection of both edges and regions.…”