Globally adaptive region information for automatic color-texture image segmentation

Authors:
Mohand Saïd Allili;Djemel Ziou
Affiliations:
Department of Computer Science, Faculty of Science, University of Sherbrooke, Sherbrooke, Quebec, Canada J1K 2R1;Department of Computer Science, Faculty of Science, University of Sherbrooke, Sherbrooke, Quebec, Canada J1K 2R1
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

In this paper, we propose an automatic segmentation of color-texture images with arbitrary numbers of regions. The approach combines region and boundary information and uses active contours to build a partition of the image. The segmentation algorithm is initialized automatically by using homogeneous region seeds on the image domain. The partition of the image is formed by evolving the region contours and adaptively updating the region information formulated using a mixture of pdfs. We show the performance of the proposed method on examples of color-texture image segmentation, with comparison to two state-of-the-art methods.