摘要
将遗传算法引入图像匹配过程，提出了一种基于相关匹配的遗传相关匹配方法．实验结果表明，该方法既保留了相关匹配强的抗噪声能力，又克服了一般相关匹配运算量大的缺点．
Image matching is one of the basic techniques for target detection, tracking and recognition. More and more attention is paid to the research in fast matching algorithms. By drawing genetic algorithms into a matching course, a fast matching algorithm based on correlation matching is presented. From the experimental results, we can draw the conclusion that the fast matching algorithm is not only of retaining the capability of restraining the noise of correlation matching, but also of overcoming the disadvantage of a large computing cost of correlation matching.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
1998年第4期450-453,共4页
Journal of Xidian University
基金
国防预研基金
关键词
相关匹配
遗传算法
目标检测
跟踪识别
correlation matching genetic algorithms target detection tracking and recognition
