摘要
提出了一种基于演化算法的快速图像相关匹配的新方法,详细介绍了染色体编码的编码方法选取、适应度函数设计及演化算子设计,并对演化算子设计做出了部分改进.实验结果表明:与传统的遗传算法相比较,改进的演化算法能够更快而且有效地实现灰度图像的相关匹配.
This paper puts forward a new method of fast image correlation matching, whose realisization is dependent on evolution algorithm with biological evolution standpoint. It describes particularly the chromosome expression, the fitness, evolution operator, and how to improve the speed of evolution. The result of the experiment approves that image character correlation matching with improved evolution algorithm is more efficient than that of traditional method.
出处
《许昌学院学报》
CAS
2008年第5期88-91,共4页
Journal of Xuchang University
基金
河南省教育厅基金资助项目(07020065)
许昌市科技计划项目(07020062)
关键词
演化算法
图像匹配
灰度图像
相关匹配
evolution agorithm
image matching
gray-degree image
correlation matching
