Image recognition based on evolutionary algorithm

被引：0

作者：

Yan, XQ ^{[1
]}

Li, WF ^{[1
]}

Chen, DF ^{[1
]}

机构：

[1] Wuhan Univ Technol, Res Inst Intelligent Manufacture & Control, Wuhan 430070, Peoples R China

来源：

2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年

关键词：

image recognition; evolutionary algorithm; fitness function; crossover; mutation;

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：

in this article, we propose two methods based on evolutionary algorithm to recognize simple and complex patterns in complex images with a lot of noise information. We also adjust the fitness function in the evolutionary algorithm to speed up the computation. Several experiments are also been made to show that through these methods and adjust, via comparisons with fixed patterns, object with different X and Y direction scale factors, rotation angle and translation in complex images can be recognized easily with very quite high precision.

引用

页码：1771 / 1773

页数：3

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