Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation
Joint Authors
Akram, Farhan
Soomro, Shafiullah
Kim, Jeong Heon
Soomro, Toufique Ahmed
Choi, Kwang Nam
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-09
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Soomro, Shafiullah& Akram, Farhan& Kim, Jeong Heon& Soomro, Toufique Ahmed& Choi, Kwang Nam. 2016. Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1100244
Modern Language Association (MLA)
Soomro, Shafiullah…[et al.]. Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1100244
American Medical Association (AMA)
Soomro, Shafiullah& Akram, Farhan& Kim, Jeong Heon& Soomro, Toufique Ahmed& Choi, Kwang Nam. Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1100244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100244