A 'no-threshold' histogram-based image segmentation method

被引：37
|
作者：
Bonnet, N
Cutrona, J
Herbin, M
机构：
[1] Hop Maison Blanche, INSERM, UMRS, F-51092 Reims, France
[2] Univ Reims, IUT, LERI, F-51687 Reims 2, France
来源：
PATTERN RECOGNITION | 2002年 / 35卷 / 10期
关键词：
image; segmentation; fuzzy logic; probabilistic relaxation; probability density;
D O I：
10.1016/S0031-3203(02)00057-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Although most histogram-based image segmentation methods rely on the identification of a good threshold, we show that thresholding is not mandatory. Instead, we propose the association of grades of membership to each individual pixel. in order to perform probabilistic relaxation in the image space (which realizes some kind of regularization) and finally to obtain the segmented image through defuzzyfication of the relaxed grades of membership. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：2319 / 2322
页数：4
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