A novel evolutionary template-matching algorithm and researches on it

被引:0
|
作者
Gao, J [1 ]
Zhao, Q
Xu, XH
Yang, J
机构
[1] Hefei Univ Technol, Lab Image Informat Proc, Hefei 230009, Peoples R China
[2] Chinese Acad Sci, Inst Intelligent machines, Ctr Biomimet Sensing & Control Res, Hefei 230031, Peoples R China
关键词
evolutionary template; image matching; evolutionary computation (EC); evolutionary strategy (ES);
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposed a novel evolutionary template-matching algorithm and studied its convergence problem. The method regarded the image matching as a global optimization problem where the main task is to find the parameters of the affine transformation. It can greatly decrease computation amount and quickly detect the affine transformed object from noises-polluted images. Experimental results demonstrate this approach's feasibility and its potential in practical applications.
引用
收藏
页码:246 / 250
页数:5
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