摘要
针对传统相关匹配算法不能满足实时性的缺点,通过分析红外图像目标的特点,提出一种改进的SSDA算法,充分利用图像的边缘特征和灰度信息,在没有降低匹配精度的情况下减少了计算量,单调递减阈值序列的使用,进一步提高了算法的速度。
Traditional correlative matching algorithm is too slow to meet the real time requirement. We analyzed the target characteristics in infrared image and proposed an improved Sequence Similar Detection Arithemetic （SSDA）. The algorithm made full use of edge feature and grey scale information of the image, which could decrease the calculation cost while keeping the matching accuracy. The introduction of monotone descending sequence increased the calculation speed further.
出处
《电光与控制》
北大核心
2007年第2期66-68,共3页
Electronics Optics & Control
基金
国家自然科学基金资助(60572080)
关键词
相关匹配
跟踪
SSDA
correlative matching
tracking
SSDA
