基于形态小波变换的红外图像目标检测方法 |
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引用本文: | 宗思光 王江安. 基于形态小波变换的红外图像目标检测方法[J]. 激光与红外, 2003, 33(5): 377-379 |
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作者姓名: | 宗思光 王江安 |
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作者单位: | 海军工程大学兵器工程系,湖北,武汉,430033 |
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摘 要: | 文中提出了一种基于形态小波变换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,该算法可较强的抑制云层、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。
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关 键 词: | 图像目标检测 小波变换 形态学 红外警戒 |
文章编号: | 1001-5078(2003)05-0377-03 |
修稿时间: | 2003-04-18 |
Infrared Image Targets Detection Based on Wavelet Transform and Mathematical Morphology |
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Abstract: | The algorithm based on wavelet transform and mathematical morphology is presented to resolve the infrared image detection polluted heavy yawp. First by multi2resolution and pyramid decomposition , the componentswith different spatial resolutions and different directions can be acquired. The component images are filtered with mathematical morphology , then be structured with wavelet athwart transform. The experimenal results show that the algorithm can eliminate the strong clutter of clouds , ocean waves , sea level and strong noise. And the algorithm is especially suited for surveillance system which can detect the infrared target with signal to clutter ratio equal to 2. |
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Keywords: | image target detection wavelet transform mathematical morphology infrared surveillance |
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