北京科技大学学报2016，Vol.38Issue(11)：1652-1658,7.DOI:10.13374/j.issn2095-9389.2016.11.020
基于非线性局部滤波的红外小目标检测方法
Infrared small target detection method based on nonlinear local filter
摘要
Abstract
In order to improve the efficiency of infrared small target detection against complex background, the image was decom-posed into three regions:flat region, edge region and small target region. A method of nonlinear local filter detection using the Lapla-cian pyramid was presented based on each character of the three components. Firstly, Gaussian pyramids were built for the image, each level was subtracted from the original image with matching size, and the flat region was restrained by simple threshold operation. Secondly, the minimum difference between the marked pixel gray value and the mean value of the hollow annular region was used as quota to filter out the edge region. At last, each layer coefficient of the Laplacian pyramid was generated from the results of nonlinear local filtering and then a high-contrast detection image was reconstructed. The isolated noise points were removed based on the charac-ter of the neighborhood and the infrared small target was marked by simple threshold operation. Compared with other existing methods, the experimental results show that this method can effectively restrain complex background and the detection speed is fast.关键词
红外图像处理/目标探测/拉普拉斯金字塔/非线性滤波/局部滤波Key words
infrared image processing/target detection/Laplacian pyramid/nonlinear filtering/local filter分类
军事科技引用本文复制引用
赵爱罡,王宏力,杨小冈,陆敬辉,黄鹏杰..基于非线性局部滤波的红外小目标检测方法[J].北京科技大学学报,2016,38(11):1652-1658,7.基金项目
国家自然科学基金资助项目(61203189,61374054) （61203189,61374054）
