Globally adaptive region information for automatic color-texture image segmentation

被引:23
作者
Allili, Mohand Said [1 ]
Ziou, Djemel [1 ]
机构
[1] Univ Sherbrooke, Fac Sci, Dept Comp Sci, Sherbrooke, PQ J1K 2R1, Canada
关键词
color; texture; polarity; level sets; automatic segmentation;
D O I
10.1016/j.patrec.2007.05.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:1946 / 1956
页数:11
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