Adaptive color image processing and recognition for varying backgrounds and illumination conditions

被引：0
|
作者：
Huang, WC
Wu, CHJ
机构：
来源：
ISCAS '97 - PROCEEDINGS OF 1997 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I - IV: CIRCUITS AND SYSTEMS IN THE INFORMATION AGE | 1997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：
This paper presents a fuzzy based method for recognizing color objects in a complex background under varying illumination. Fuzzy rules are generated using a Fuzzy Associative Memory (FAM) training method to cope with chromatic distortion. The color model used is the Hue, Saturation, and Value (HSV) color model. The proposed method is applied to stop sign recognition in real-world scenes that may have incorrect video camera focus, color distortions, and varying illumination conditions. Experimental results are reported and analyzed in this paper.
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页码：1381 / 1384
页数：4
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