An Experimental Segmentation Study Techniques and Analysis of Medical Images

Abstract: Research field in Image processing have many topics such as medical image segmentation to make it we must extract relevant feature of desired image into regions of pixels having same characteristics which provide invaluable information about shape, size, and localization of object (tumors cancer for example) , without exposing the patient to a high ionization radiation. There are different types of segmentation techniques denoted: 1- Edge based segmentation. 2-Threshold Based Segmentation 3- Region Based Segmentation 4- Clustering 5- Matching. In this paper we have implement most segmentation techniques for medical image in Matlab environment and compare them.