Application of the Karhunen-Loeve transform to aerial color image segmentation.

被引：0
|
作者：
Devaux, JC [1 ]
Gouton, P [1 ]
Truchetet, F [1 ]
机构：
[1] Univ Bourgogne, Le2i, F-21078 Dijon, France
来源：
KES'2000: FOURTH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, VOLS 1 AND 2, PROCEEDINGS | 2000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：
The Karhunen-Loeve Transform (KLT) is used to performed region-based segmentation of aerial color images from color and texture features. A region-based segmentation method is developed in the KL color image representation space and KLT is extended to texture analysis by Local Linear Transform (LLT). An algorithm to merge color and texture segmentations is presented in order to improve results.
引用
收藏
页码：373 / 376
页数：4
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