Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation

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 i...

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Bibliographic Details
Published in:Computational and mathematical methods in medicine 2016-01, Vol.2016 (2016), p.1-15
Main Authors: Soomro, Toufique Ahmed, Kim, Jeong Heon, Akram, Farhan, Soomro, Shafiullah, Choi, Kwang Nam
Format: Article
Language:English
Subjects:
Algorithms
Brain - diagnostic imaging
Cluster Analysis
Computer Simulation
Diagnostic Imaging - methods
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging
Models, Statistical
Normal Distribution
Pattern Recognition, Automated - methods
Reproducibility of Results
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Summary: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.
ISSN:1748-670X
1748-6718
DOI:10.1155/2016/9675249