Segmentation of Medical Image Using Gradient Watershed and Fast Level Set Methods

Abstract

This paper proposes, a method modified Gradient image as input to the watershed transform algorithm this is compared with Fast Level Set method. The method is feasible in medical imaging and deserves. It could be used to segment the white matter, brain tumor and other small and simple structured organs in CT and MR images. In this paper used Gradient watershed transform and Fast Level Set method and compared their performance. We found that, improved segmentation as compared to traditional watershed and Segmentation of gradient watershed method is same as Fast Level Set method, but it consumes more time.

Cite this paper

@inproceedings{Ahamed2017SegmentationOM, title={Segmentation of Medical Image Using Gradient Watershed and Fast Level Set Methods}, author={Ejaz Ahamed and Mahesha Narayana}, year={2017} }