基于改进的遗传算法的快速图像相关匹配  

Fast Image correlative matching based on improved genetic algorithm

作　　者：李丽[1] 李萍[2] 

机构地区：[1]长春工业大学计算机科学与工程学院,吉林长春130012 [2]长春外国语学校,吉林长春130012

出　　处：《吉林工程技术师范学院学报》2007年第12期75-77,共3页Journal of Jilin Engineering Normal University

摘　　要：为了解决图像匹配中计算速度慢和匹配精度不高的缺陷,提出了一种基于改进的遗传算法的匹配方法,算法的主要改进手段是,用自识别交叉算子进行交叉操作,避免种群过早成熟。实验结果表明,与基本遗传算法相比,基于该算法的图像匹配具有运算量小、匹配精确等优点,且算法稳定。To solve the problem of slow computation speed and low accuracy in image matching,a new approach based on the image matching using approved genetic algorithm was proposed.The improving methods of the algorithm are mainly using the self-identify crossover operator to avoid the group prematurely mature.In contrast to the tradition GA,it shows that the approach that based on the method is simple,reliable and stable in operation,and has high accuracy in matching.

关 键 词：遗传算法 自识别交叉算子 图像相关匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]