Application of Segmentation Techniques on Atherosclerosis Images

Abstract

This paper presents application of segmentation techniques on atherosclerosis images using various segmentation methods like Otsu thresholding, fuzzy C means, clustering algorithm and marker controlled watershed segmentation algorithm. Atherosclerosis is one of the causes of coronary heart disease (CHD). The proposed marker controlled watershed algorithm for medical image segmentation and analysis is very important because of its advantages, such as always being able to construct an entire division of the color image and prevent over segmentation as compared to conventional watershed algorithm. Paper finds Region of Interest (ROI) values of segmented image with proposed technique for coronary atherosclerosis. Keywords - Coronary heart disease (CHD), Clustering Image Segmentation Technique, Medical Image Segmentation, Fuzzy C means algorithm, Marker based Watershed Image Segmentation Technique.