Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation. (9th October 2016)

• Record Type: Journal Article
• Authors: Soomro, Shafiullah; Akram, Farhan; Kim, Jeong Heon; Soomro, Toufique Ahmed; Choi, Kwang Nam
• Other Names: Tsui Po-Hsiang Academic Editor.
• Is Part Of: Computational and mathematical methods in medicine. Volume 2016(2016)
• Publication Date: 2016-10-09
• Subjects: Medicine -- Computer simulation -- Periodicals; Medicine -- Mathematical models -- Periodicals; 610.11
• DOI: 10.1155/2016/9675249
• Languages: English
• ISSNs: 1748-670X

Abstract

Abstract : This paper introduces an improved region based active contour method with a level set formulation. The proposed energy functional integrates both local and global intensity fitting terms in an additive formulation. Local intensity fitting term influences local force to pull the contour and confine it to object boundaries. In turn, the global intensity fitting term drives the movement of contour at a distance from the object boundaries. The global intensity term is based on the global division algorithm, which can better capture intensity information of an image than Chan-Vese (CV) model. Both local and global terms are mutually assimilated to construct an energy function based on a level set formulation to segment images with intensity inhomogeneity. Experimental results show that the proposed method performs better both qualitatively and quantitatively compared to other state-of-the-art-methods.