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Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours

Published online by Cambridge University Press:  28 May 2015

Noor Badshah*
Affiliation:
Department of Basic Sciences, UET Peshawar, Pakistan
Ke Chen*
Affiliation:
Centre for Mathematical Imaging Techniques and Department of Mathematical Sciences, The University of Liverpool, United Kingdom
Haider Ali
Affiliation:
Department of Basic Sciences, UET Peshawar, Pakistan
Ghulam Murtaza
Affiliation:
Department of Basic Sciences, UET Peshawar, Pakistan
*
Corresponding author. Email: noor2knoor@googlemail.com
Corresponding author. Email: k.chen@liv.ac.uk
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Abstract

Most image segmentation techniques efficiently segment images with prominent edges, but are less efficient for some images with low frequencies and overlapping regions of homogeneous intensities. A recently proposed selective segmentation model often works well, but not for such challenging images. In this paper, we introduce a new model using the coefficient of variation as a fidelity term, and our test results show it performs much better in these challenging cases.

Type
Research Article
Copyright
Copyright © Global-Science Press 2012

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