Volume 2, Issue 2
Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours

Noor Badshah ,  Ke Chen ,  Haider Ali and Ghulam Murtaza

10.4208/eajam.090312.190412a

East Asian J. Appl. Math., 2 (2012), pp. 150-169.

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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.

  • History

Published online: 2018-02

  • AMS Subject Headings

68U10, 62G30

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