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http://dx.doi.org/10.12941/jksiam.2017.21.063

A MULTIPHASE LEVEL SET FRAMEWORK FOR IMAGE SEGMENTATION USING GLOBAL AND LOCAL IMAGE FITTING ENERGY  

TERBISH, DULTUYA (NATIONAL UNIVERSITY OF MONGOLIA)
ADIYA, ENKHBOLOR (NATIONAL UNIVERSITY OF MONGOLIA)
KANG, MYUNGJOO (SEOUL NATIONAL UNIVERSITY)
Publication Information
Journal of the Korean Society for Industrial and Applied Mathematics / v.21, no.2, 2017 , pp. 63-73 More about this Journal
Abstract
Segmenting the image into multiple regions is at the core of image processing. Many segmentation formulations of an images with multiple regions have been suggested over the years. We consider segmentation algorithm based on the multi-phase level set method in this work. Proposed method gives the best result upon other methods found in the references. Moreover it can segment images with intensity inhomogeneity and have multiple junction. We extend our method (GLIF) in [T. Dultuya, and M. Kang, Segmentation with shape prior using global and local image fitting energy, J.KSIAM Vol.18, No.3, 225-244, 2014.] using a multiphase level set formulation to segment images with multiple regions and junction. We test our method on different images and compare the method to other existing methods.
Keywords
Segmentation; GLIF model; multiple junction; multi-phase level set method;
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Times Cited By KSCI : 1  (Citation Analysis)
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