自动化学报2018，Vol.44Issue(12)：2210-2221,12.DOI:10.16383/j.aas.2018.c170142
基于融合显著图和高效子窗口搜索的红外目标分割
Target Segmentation of Infrared Image Using Fused Saliency Map and Efficient Subwindow Search
摘要
Abstract
In order to segment infrared target fast and precisely, a segmentation method using fused saliency map and efficient subwindow search is proposed. Firstly, based on image superpixels, the enhanced sigma feature of every region is extracted, and at the same time considering the influence of neighbor contrast, background contrast, spatial distance and region s size, the local saliency map is constructed. Next, the global saliency map is obtained by global kernel density estimation. Then, the saliency detection result of infrared image is obtained by fusing the local and global saliency maps.Finally, the efficient subwindow search method is used to detect and segment the target. Experimental results show that the saliency map of the proposed method has complete target feature, obvious edges and good background suppression, and that the algorithm can segment the infrared target fast and precisely.关键词
红外图像/局部显著图/全局显著图/高效子窗口搜索/区域协方差Key words
Infrared image/local saliency map/global saliency map/efficient subwindow search/region covariance引用本文复制引用
刘松涛,刘振兴,姜宁..基于融合显著图和高效子窗口搜索的红外目标分割[J].自动化学报,2018,44(12):2210-2221,12.基金项目
国家自然科学基金(61303192) （61303192）
中国博士后科学基金(2015M572694,2016T90979)资助 （2015M572694,2016T90979）
