Automatic color-texture image segmentation by using active contours

Authors:
Mohand Saïd Allili;Djemel Ziou
Affiliations:
Faculty of Science, Department of Computer Science, Sherbrooke University, Sherbrooke, Quebec, Canada;Faculty of Science, Department of Computer Science, Sherbrooke University, Sherbrooke, Quebec, Canada
Venue:
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Year:
2006

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Abstract

In this paper, we propose a novel method for unsupervised color-texture segmentation. The approach aims at combining color and texture features and active contours to build a fully automatic segmentation algorithm. By fully automatic, we mean the steps of region initialization and calculation of the number of regions are performed automatically by the algorithm. Furthermore, the approach combines boundary and region information for accurate region boundary localization. We validate the approach by examples of synthetic and natural color-texture image segmentation.