基于竞选算法的灰度图像匹配研究  

Research on Gray Image Matching Based on Competitive Algorithm

作　　者：陈凯[1] 吕文阁[1] 谢庆华[1] 张湘伟[1] 

机构地区：[1]广东工业大学机电工程学院,广州510006

出　　处：《四川理工学院学报（自然科学版）》2014年第5期68-71,共4页Journal of Sichuan University of Science & Engineering(Natural Science Edition)

基　　金：国家自然科学基金(51276043);广东省重大科技专项(2009A080204006)

摘　　要：针对灰度图像匹配算法普遍计算量大、速度较慢的问题,将灰度图像匹配问题转化成全局优化问题,然后利用竞选算法求全局最优解,以达到优化匹配性能的目的。图像匹配实验证明:在保证匹配精度的条件下,基于竞选算法的灰度相关匹配算法匹配速度大幅提高。Aiming at the problem that gray image matching algorithms mostly have the disadvantages of large amount of calculation and slow matching velocity,the gray image matching problem is transformed into a global optimization problem,then the global optimal solution is solved through the Competitive Algorithm in order to optimize the matching performance.The image matching experiment shows that the gray correlation matching algorithm based on Competitive Algorithm greatly increase the matching velocity without losing matching accuracy.

关 键 词：灰度图像 图像匹配 全局优化 竞选算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]