A Pattern Recognition approach to image Segmentation using Clustering Methods

Abstract

In today s health care, Image Segmentation (IS) is a research area in which the researchers are continuously undergoing various inventions. Image Segmentation is one newlineof the most stimulating and difficult problem in image processing, which is used in a newlinevariety of applications such as computer vision, object recognition and medical imaging. newlineMedical imaging is tough to identify and segment the images, which contains newlinecomplex color, texture and orientation of cells in their structure. While performing newlinewith Medical Image Segmentation (MIS), the problems arises like overlapping of images, newlineirregular background subtraction, noise and low contrast etc. In order to overcome newlinethese difficulties, an improved segmentation and classification algorithms are employed. newline