A REVIEW OF BOUNDARY DETECTION AND SEGMENTATION TECHNIQUES IN MEDICAL IMAGAES

Abstract

A chain of research has been carried out to improve the quality of medical images in last decade. Researchers have proposed and implemented various models in MATLAB, written plenty of programs to achieve high accuracy of images. In this paper, we have presented the review of few techniques for the same. The paper introduces the scenario of the boundary detection, extraction and edge detection techniques implemented by researcher in past few years. The accuracy of the image detection plays a vital role in medical field. Object segmentation is the problem in medical field which was challenging the researchers, while the solutions introduced to address this problem have given satisfactory results. Researchers have carried out the experimentation to improve the accuracy in segmentation of body part and still the work is going on to complete this task by optimizing the previous solutions.