摘要
在红外成像制导系统中,运动小目标易受到背景和噪声的严重干扰,从而导致较低的信噪比,给目标检测带来了难度。为此,我们首先使用基于Top-Hat变换的数学形态学滤波对红外数字图像进行背景抑制。进而对经过黑、白Top-Hat变换后的图像求取并集,然后,通过自适应门限分割得到小目标。试验结果表明该方法在信噪比接近2的时候仍能够得到较好的目标检测效果。
In an infrared imaging guidance system, a small target infrared image is disturbed by the background and noise, which results in low Signal Noise Ratio（SNR） and brings difficulty to target detection Therefore, we use mathematical morphology filtering based Top-Hat transform to suppress the background of the digital infrared image, and get the union from White and Black Top-hat transform. And finally, we obtain the small tatget image using adaptive threshold segmentation algorithm. The experimental results prove that this approach is an effective method for small infrared moving target detection when the SNR reaches 2.
出处
《红外技术》
CSCD
北大核心
2007年第8期439-442,共4页
Infrared Technology
基金
Supported by Research Fund for the Doctoral Program of Higher Education.(NO.20060699024)
Supported By Graduate Innovation Lab Center of Northwestern Polytechnical University
关键词
数学形态学
目标检测
Top—Hat变换
自适应门限分割
mathematical morphology
target detection
Top-Hat transform
self-adaptive thresholdsegmentation
