红外技术2007，Vol.29Issue(8)：439-442,4.
复杂背景条件下的红外运动小目标检测算法
Small Moving Infrared Target Detection Algorithm under Complex Background
摘要
Abstract
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.关键词
数学形态学/目标检测/Top-Hat变换/自适应门限分割Key words
mathematical morphology/ target detection/ Top-Hat transform/ self-adaptive threshold segmentation分类
信息技术与安全科学引用本文复制引用
孙小炜,李言俊,陈义..复杂背景条件下的红外运动小目标检测算法[J].红外技术,2007,29(8):439-442,4.基金项目
Supported by Research Fund for the Doctoral Program of Higher Education.(NO.20060699024) （NO.20060699024）
Supported By Graduate Innovation Lab Center of Northwestern Polytechnical University. （）
