遗传算法对图像模板匹配的优化  

OPTIMIZATION OF IMAGE TEMPLATE MATCHING BASED ON GENETIC ALGORITHM

作　　者：刘德华[1] 呼家龙[1] 

机构地区：[1]马鞍山职业技术学院,安徽马鞍山243000

出　　处：《巢湖学院学报》2011年第3期57-60,共4页Journal of Chaohu University

摘　　要：本文分析了常见标志物的特征模板匹配过程,并通过遗传算法对十字丝匹配进行优化,在给定参数下,绘制了平均适应度和最大适应度曲线。通过固定代数和不固定代数情况下的实验,分析匹配结果值,得出遗传算法对模板匹配有极强的全局寻优能力,能够大大减少匹配计算量。This paper analyzes feature template matching process of the common markers,and optimizes the cross-wire matching by genetic algorithm,draws the average fitness and maximum fitness curve under the given parameters.Through experiments under a fixed and not fixed algebraic,analysis of the value of matching results,genetic algorithms have a strong global optimization to match the template and can greatly reduce the amount of matching calculation.

关 键 词：图像处理 模板匹配 遗传算法 

分 类 号：TN911.73[电子电信—通信与信息系统]