摘要
提出了一种基于模糊距离的红外图像小目标的精准匹配算法.该算法从红外图像中获取特征点,以特征点为中心选取参考模板,利用特征模糊距离熵对小目标特征进行扩展,克服由于目标滑动造成的定位误差较大的弊端.实验结果表明,该算法很好的解决了红外图像特征目标跟踪技术中的跟踪点滑动和漂移问题,并满足实时性要求,鲁棒性稳定.
This paper puts forward a fuzzy distance based on infrared images of small target precise matching algorithm. The algorithm from infrared image obtain feature points, with a characteristic point as the center selection reference templates, making use of characteristic of small target fuzzy distance entropy characteristics of extension, overcome since target slip by positioning error greater disadvantages. It was found that the algorithm is a very good solution to solve the infrared image features of target tracking technology of tracking point slide and drift, and satisfy real-time requirement, robust stability.
出处
《北京师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第6期582-585,共4页
Journal of Beijing Normal University(Natural Science)
关键词
红外图像
目标跟踪
特征匹配
infrared image
target tracking
feature matching
