摘要
提出一种将自适应遗传算法与灰度互相关函数结合的模板匹配方法。通过合理设计自适应遗传算法和遗传参数以充分发挥遗传算法的全局寻优能力,从而降低模板匹配的时间复杂性,提高模板匹配的实时性。
A approach to template matching using the combination of the adaptive genetic algorithm and intercorrelation algorithm is proposed. Trough properly designing adaptive genetic algorithm and genetic parameters to fully exert the parallel handling ability and global convergence of the genetic algorithm, so as to reduce the time complexity of template matching. Through the analysis of theory and experiments, it is verified that this algorithm has good effect of raising the real time of template matching, at the same time guarantees the match accuracy.
出处
《浙江理工大学学报（自然科学版）》
2006年第1期46-49,共4页
Journal of Zhejiang Sci-Tech University(Natural Sciences)
基金
浙江省教育厅项目资助(20031165)
关键词
互相关函数
自适应遗传算法
模板匹配
Inter-correlation algorithm
Adaptive genetic algorithm
Template matching
作者简介
董建明（1981-），男，浙江杭州人，硕士研究生，主要从事计算机视觉与数字图像处理。
