摘要
为解决复杂背景图像中低信噪比小目标和点目标检测问题 ,提出了基于顺序形态滤波的目标检测方法 ,同时给出了具体算法 .通过实验比较了这种方法与传统高通滤波检测方法在抗噪声性能、背景抑制性能以及抑制虚警目标性能方面的差异 .实验结果表明顺序形态滤波法在这三个方面都优于高通滤波法 ,它能够快速可靠地测出低信噪比的运动小目标和点目标 .
This paper is presented to resolve the small target and point target detection problem under the condition of low Signal to Noise Ratio(SNR). The method of detection based on order morphology filtering is presented, and the algorithm is given. By means of experiments the performances of anti-noise and background suppression and false target suppression are compared between order morphology filtering and high-pass filtering. The experiment results show that the method of order morphology filtering is better than the high pass filtering in the performances of target detection and it can effectively and reliably detect the moving point target with low SNR.
出处
《自动化学报》
EI
CSCD
北大核心
2002年第6期990-994,共5页
Acta Automatica Sinica
基金
中国科学院自动化研究所模式识别国家重点实验室开放课题基金资助
关键词
顺序形态滤波
小目标
点目标
检测
高通滤波
图像处理
数学形态学
Algorithms
Automatic target recognition
High pass filters
Interference suppression
Mathematical morphology
Signal detection
Signal to noise ratio
