华中科技大学学报（自然科学版）Issue(z1)：173-177,5.DOI:10.13245/j.hust.15S1042
基于视觉注意机制的红外小目标检测算法
Infrared small target detection algorithm based on human visual attention mechanism
摘要
Abstract
A method based on the human visual attention and layered threshold was presented.First-ly,the border of the target was strengthened by the morphology processing and the Gamma correc-tion,and then the small target and the background were separated through the analysis of the connect-ed domain.The image′s SCR (signal-clutter ratio)can be enhanced by processing the ROI (region of interest)using multi-scale Gaussian filtering.At last,the small target was located by moving pipeline filter.Experimental results show that the algorithm can detect the small target effectively,and has good adaptability for low SCR images.关键词
视觉注意机制/分层阈值化/感兴趣区域/Gamma 校正/连通域Key words
visual attention mechanism/layered threshold/region of interest/Gamma correction/connected domain分类
信息技术与安全科学引用本文复制引用
丁春云,王敏..基于视觉注意机制的红外小目标检测算法[J].华中科技大学学报（自然科学版）,2015,(z1):173-177,5.基金项目
国家自然科学基金资助项目（61370180）． （）
