Image features selection based on genetic algorithm

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (28): 78-80.

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Image features selection based on genetic algorithm

CHEN Wei-dong,LIU Su-hua

College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-10-01 Published:2007-10-01
Contact: CHEN Wei-dong

基于遗传算法的图像特征选择

陈卫东,刘素华

河南工业大学信息科学与工程学院,郑州 450001

通讯作者: 陈卫东

Abstract

Abstract: Aimed to the problem that original feature is mass and redundancy in pattern recognition,a method of feature optimal based on genetic algorithm is proposed.This paper describes the general idea of genetic algorithm.Then explains and designs a fitness function and genetic operators.Simulations results show that this method has good performance in both the quality of obtained feature subset and efficiency.

Key words: feature selection, Genetic Algorithm（GA）, pattern recognition, store-product pest

摘要： 针对模式识别时,提取的特征参数量大而又有冗余的现象,提出了基于遗传算法的特征选择方法。介绍了遗传算法的基本原理,阐述并设计了适应度函数和遗传算子。仿真实验表明,该方法在求解的效率和解的质量方面都达到了令人满意的效果。

关键词: 特征选择, 遗传算法, 模式识别, 仓储物害虫

CHEN Wei-dong,LIU Su-hua. Image features selection based on genetic algorithm[J]. Computer Engineering and Applications, 2007, 43(28): 78-80.

陈卫东,刘素华. 基于遗传算法的图像特征选择[J]. 计算机工程与应用, 2007, 43(28): 78-80.

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Image features selection based on genetic algorithm

基于遗传算法的图像特征选择

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