Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours

doi:10.4208/eajam.090312.190412a

Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours

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Year: 2012

East Asian Journal on Applied Mathematics, Vol. 2 (2012), Iss. 2 : pp. 150–169

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.

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Journal Article Details

Publisher Name: Global Science Press

Language: English

DOI: https://doi.org/10.4208/eajam.090312.190412a

East Asian Journal on Applied Mathematics, Vol. 2 (2012), Iss. 2 : pp. 150–169

Published online: 2012-01

AMS Subject Headings:

Pages: 20

Keywords: Segmentation Coefficient of Variation (CoV) level set functional minimisation Total Variation (TV).

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