http://dx.doi.org/10.4208/cicp.061212.111013a">
 

Document Type

Journal Article

Department/Unit

Department of Mathematics

Title

Multi-phase texture segmentation using Gabor features histograms based on wasserstein distance

Language

English

Abstract

We present a multi-phase image segmentation method based on the histogram of the Gabor feature space, which consists of a set of Gabor-filter responses with various orientations, scales and frequencies. Our model replaces the error function term in the original fuzzy region competition model with squared 2-Wasserstein distance function, which is a metric to measure the distance of two histograms. The energy functional is minimized by alternative minimization method and the existence of closed-form solutions is guaranteed when the exponent of the fuzzy membership term being 1 or 2. We test our model on both simple synthetic texture images and complex natural images with two or more phases. Experimental results are shown and compared to other recent results. © 2014 Global-Science Press.

Keywords

Gabor filter, Multi-phase texture segmentation, Mumford-Shah model, Wasserstein distance

Publication Date

2014

Source Publication Title

Communications in Computational Physics

Volume

15

Issue

5

Start Page

1480

End Page

1500

Publisher

Global Science Press

ISSN (print)

18152406

ISSN (electronic)

19917120

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