渭南师范学院学报2016，Vol.31Issue(8)：14-19,6.
基于形态滤波和小波变换的红外背景抑制算法研究
The Research of Infrared Background Suppression Algorithm Based on Morphological Filter and Wavelet Transform
摘要
Abstract
A key technique in infrared monitoring alarm system is infrared background suppression. A kind of infrared dim-small target background suppression algorithm is proposed by using morphological filtering Top-hat transform combined with discrete wavelet transform ( DWT) . First, the infrared image is processed by morphological filter, and then extracts the image multi-scale information by wavelet decomposition, through the nonlinear fuzzy enhancement operator for the high frequency sub-bands of each decomposition level respectively non-linear enhancement to change the characteristics of target and suppress background signal in⁃tensity. Finally the changing scale coefficient is used to reconstruct to achieve the goal of background suppression. The experimental results show that the algorithm can well restrain background and save the target signal.关键词
红外图像/背景抑制/形态学滤波/小波变换Key words
infrared image/background suppression/morphological filter/wavelet transform分类
信息技术与安全科学引用本文复制引用
冯洋,袁卫..基于形态滤波和小波变换的红外背景抑制算法研究[J].渭南师范学院学报,2016,31(8):14-19,6.基金项目
陕西省教育厅科学基金项目红外监视告警系统中复杂背景抑制算法研究（14JK1247）；渭南师范学院教育教学改革研究项目“数字图像处理”课程多层次、多模式实践教学体系研究（ JG201537）；渭南师范学院教育科学研究项目新形势下高师院校实践取向的师范生创新能力研究（2014JYKX024）；渭南师范学院自然科学研究项目基于序列图像的弱小目标检测算法研究 （）
