GA-based object recognition in a complex noisy environment

被引：0
|
作者：
Xin, J [1 ]
Liu, D [1 ]
Liu, H [1 ]
Yang, YX [1 ]
机构：
[1] Xian Univ Technol, Xian, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
image pattern recognition; object recognition; genetic algorithm; distance transform;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes a method for object recognition in a complex noisy environment based on GA. A small object is represented by their binary edges. Fitness function is constructed by the shape of an object in combination with its frame model to search for the position and orientation of target in the input image In order to enhance the orientation function of fitness function, some preprocesses have been done. The simulation result shows that the method presented is effective and has great practical value.
引用
收藏
页码：1586 / 1589
页数：4
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