Indian Journal of Science and Technology

Abstract

Background/Objectives: Images are the most effective way of revealinginformation to the world. Images are analysed and processed by computerized techniquesto extract hidden information available in it. Innumerable techniques are available to process the images. In numerous fields, the processed images are used for decision making. In medical field, automated detection and quantitative analysis of the radiological images and other images are processed by Computer Aided Diagnosis(CAD) tool to detect the abnormalities present in images. Methods/Statistical Analysis:Segmentation is one of the techniques used in CAD which play a vibrant role in processing the images. It is a process in which regions/ features sharing related characteristics are recognized or grouped together to interpret the images. Each segment divulges some information to the users. Segmentation techniques vary from image to image and areapplied to the images depending upon the problems being solved.This research work analyses about the segmentation techniques which are used in medical field. Findings: The results of the various research papers are discussed based on the approaches of hybrid algorithms applied in segmentation techniques. Also, this research work analyses about theuse of various segmentation techniques applied in mammogram images using CAD tool which assist the radiologist to interpret the suspicious regions and to know the impact of the diseases in patients for the suitable prediction. Application/Improvements: The segmentation techniquesare implemented to analyse mammogram images in future by means of a practical approach.
Keywords: Deformable Method, Hybrid Techniques, Image Segmentation, Mammogram Images