Unsupervised segmentation, on image with JS']JSEG using soft class map

被引：0
|
作者：
Zheng, YJ [1 ]
Yang, J [1 ]
Zhou, Y [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200030, Peoples R China
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS | 2004年 / 3177卷
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：
Soft class map is presented for JSEG. The definitions of J values etc. in JSEG are adjusted correspondingly. The method of constructing soft class map is provided. JSEG with soft class map is a more robust method in unsupervised image segmentation compared with the original JSEG method. Our method can segment correctly image in which there exists color smooth transition in underlying object region.
引用
收藏
页码：197 / 202
页数：6
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