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.
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.
出处
《江西师范大学学报（自然科学版）》
CAS
北大核心
2006年第3期288-290,共3页
Journal of Jiangxi Normal University(Natural Science Edition)
关键词
图像匹配
遗传算法
多变异
image - matching
genetic algorithm
multi - mutation
