A genetic algorithm based method to improve image segmentation

被引：0
|
作者：
Visa, A [1 ]
机构：
[1] Lappeenranta Univ Technol, Dept Informat Sci, FIN-53851 Lappeenranta, Finland
来源：
FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 | 1998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：
Segmentation of textured images is becoming more and more important in applications, as quality control or remote sensing. Segmentation of textured images is demanding. A new genetic algorithm based method to post-process segmented texture images is presented. A genetic algorithm is used to extract web-like rules from segmented texture images. These rules are checked and they are used in post-processing to improve the segmentation. An unsupervised image segmentation and definition of classes by class prototypes are assumed. Some preliminary results are presented.
引用
收藏
页码：1015 / 1017
页数：3
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