An unsupervised color image segmentation based on morphological 2D clustering and fusion

被引：0
|
作者：
Lezoray, O [1 ]
机构：
[1] LUSAC, EA 2607, Vis & Image Anal Grp, IUT SRC, F-50000 St Louis, France
来源：
CGIV 2004: SECOND EUROPEAN CONFERENCE ON COLOR IN GRAPHICS, IMAGING, AND VISION - CONFERENCE PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A segmentation method for color images is presented in this work. A morphological unsupervised 2D multiband histogram clustering provides an initial coarse segmntation of the image. Region information is then used and a novel technique is introduced to simplify the Region Adjacency Graph by merging candidate regions until the stabilization of a segmentation criterion. Merged regions are refined by a color watershed. The whole method requires the definition of only one single parameter which acts as a kind of multiscale parameter.
引用
收藏
页码：173 / 177
页数：5
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