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基于改进多变异遗传算法的图像匹配
引用本文:孙国玺,尹俊勋.基于改进多变异遗传算法的图像匹配[J].江西师范大学学报(自然科学版),2006,30(3):288-290.
作者姓名:孙国玺  尹俊勋
作者单位:1. 茂名学院,计算机系,广东,茂名,525000;华南理工大学,电子与信息学院,广东,广州,510641
2. 华南理工大学,电子与信息学院,广东,广州,510641
摘    要:简述图像匹配问题的研究现状,提出一种新的改进遗传算法.针对图像匹配问题的特点,考虑基因位的影响力及跟踪进化过程的遗传参数调整策略,采用各种变异操作,提高算法的收敛能力.仿真结果表明,改进遗传算法相对于SGA解决图像匹配问题在收敛速度上有明显提高,算法稳定性也有所改善.新算法的优化质量较高,具有更好的实际应用效果.

关 键 词:图像匹配  遗传算法  多变异
文章编号:1000-5862(2006)03-0288-03
收稿时间:2005-10-26
修稿时间:2005-10-26

A Multi-Mutation Genetic Algorithm for the Image-Matching Question
SUN Guo-xi,YIN Jun-xun.A Multi-Mutation Genetic Algorithm for the Image-Matching Question[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2006,30(3):288-290.
Authors:SUN Guo-xi  YIN Jun-xun
Institution:1. College of Computer, Maoming College, Maoming Guangdong 525000, China; 2. Electronics and Communication Engineering Department, South China University of Technology, Guangzhou 510641, China
Abstract:The paper introduces the current research status of image-matching question and proposes a new improved genetic algorithm.Based on the particulars of the image-matching,it adopts a multi-mutation technique for considering the different effect of each locus on fitness and tracking the course of evolution.The simulation results show the improved GA has the higher convergence efficiency and the better graph than the SGA.
Keywords:image-matching  genetic algorithm  multi-mutation
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