红外与激光工程, 2005, 34 (2): 225, 网络出版: 2006-05-25
适用于模糊熵差景象匹配算法的后检测技术
Back-check adapt to scene matching algorithm of fuzzy entropy similarity metric
摘要
研究了有效特征区域的松弛检测方法,对基于模糊熵差的景象匹配算法进行相应后处理,提高了匹配性能.针对模拟图像及实际航片图像,通过迭代计算已知重心点的匹配支持度来实现虚假点的剔除.比较处理前后匹配算法的性能,验证了后处理技术的正确性和有效性.
Abstract
The relaxation detecting of effective feature segmentation is studied before matching capability of Scene Matching Algorithm of fuzzy entropy similarity metric can be improved. According to the experiments of large simulated images through iterative computing matching-support of known center, results show that it is a good back-check with correctness and validity.
何芳芳, 孙继银, 孙向东, 刘小雷. 适用于模糊熵差景象匹配算法的后检测技术[J]. 红外与激光工程, 2005, 34(2): 225. 何芳芳, 孙继银, 孙向东, 刘小雷. Back-check adapt to scene matching algorithm of fuzzy entropy similarity metric[J]. Infrared and Laser Engineering, 2005, 34(2): 225.
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