摘要
提出了一种新的海空背景下受强杂波、噪声污染的红外图像目标检测算法,算法利用了小波变换的多分辨率、多尺度特性,将要检测的图像分解到不同频率的多个尺度上,再采用形态学的背景估计和形态滤波技术,对分解后的子图像进行处理、小波重构。仿真实验表明,该算法可较强地抑制云层、海浪以及海天线的强杂波背景和强噪声的干扰,可检测出信杂比(SCR)为2的目标,适用于舰载红外警戒系统。
Experiments indicate that the tradition methods of infrared image detection are not ideal because of the much noise of infrared image, thus the algorithm based on wavelet transform and mathematical morphology is presented to resolve the problem. First by multi-resolution and pyramid decomposition, the components with different spatial resolution and different directions can be acquired. The component images are filtered with mathematical morphology and structured with wavelet athwart transform. The experiment results show that the algorithm can eliminate the strong clutter of clouds,
出处
《海军工程大学学报》
CAS
2004年第3期94-96,100,共4页
Journal of Naval University of Engineering
关键词
目标检测
小波变换
数学形态学
红外警戒
target detection
wavelet transform
mathematical morphology
infrared surveillance
