Back close

Image Segmentation using contour models: Dental X-ray image segmentation and analysis

Publication Type : Book Chapter

Publisher : IGI Global Publishers

Source : Computational Techniques for Dental Image Analysis, IGI Global Publishers, Chapter 3, October 2018, pp.62-85

Url :

Campus : Chennai

School : School of Engineering

Center : Amrita Innovation & Research

Department : Electronics and Communication

Verified : Yes

Year : 2018

Abstract : Image segmentation is an important task in image processing, which is widely used in medical applications such as abnormality detection and after treatment progress monitoring. Conventionally, texture, region, and edge information are used for segmentation. Recently, the majority of image segmentation uses contour-based models. The problem of efficient segmentation in medical images is of great importance in disease diagnosis. Medical images suffer from weak boundaries, and placement of initial contour is a major issue. Level method is an effective method for segmentation of image as it has ability to tackle complex geometries. It helps to detect the precise location of the target region and help to prevent the boundary leakage problem. This chapter presents an overview of the advanced region and edge-based level set segmentation algorithms and their application in the dental x-ray images. Computer-aided diagnosis from x-ray images are of interest to clinicians in detection and accurate decision making. Case studies of multiple region segmentation from dental x-rays are presented.

Cite this Research Publication : Kavitha, G. & Muthunayagam, Muthulakshmi & Latha, Manohar. (2018). Image Segmentation Using Contour Models: Dental X-Ray Image Segmentation and Analysis. 10.4018/978-1-5225-6243-6.ch003.

Admissions Apply Now