现代电子技术Issue(3)：5-8,12,5.DOI:10.16652/j.issn.1004-373x.2016.03.002
基于改进的奇异值分解和形态滤波的弱小目标背景抑制
Improved SVD and morphological filtering based background suppression algorithm for infrared dim small target
摘要
Abstract
Since the complicated background suppression is a difficulty for infrared dim small target detection and tracking, the background suppression algorithm for infrared dim small target based on the combination of improved singular value decompo⁃sition(SVD)and Tophat conversion in morphological filtering is presented. The singular value matrix and left and right singular matrixes of the original image are decomposed by singular value,and then the logarithm nonlinear transformation for singular val⁃ue is conducted. The optimized singular value matrix is reconstructed to obtain the infrared image of enhancing contrast ratio, and then the filtering for the image is conducted by Tophat conversion in morphological filtering to achieve background suppres⁃sion. The experimental results show that the algorithm can realize the perfect background suppression for the infrared dim small tar⁃get image,and preserve and enhance the target signal.关键词
红外图像/目标检测/背景抑制/奇异值分解/形态滤波Key words
infrared image/target detection/background suppression/singular value decomposition/morphological filtering分类
信息技术与安全科学引用本文复制引用
冯洋..基于改进的奇异值分解和形态滤波的弱小目标背景抑制[J].现代电子技术,2016,(3):5-8,12,5.基金项目
陕西省教育厅科学基金项目（14JK1247）；陕西省军民融合研究基金项目（13JMR14）；渭南师范学院特色学科项目（14TSXK07）；渭南师范学院教学科学研究项目 （）
