华中科技大学学报（自然科学版）Issue(z1)：182-186,5.DOI:10.13245/j.hust.15S1044
基于视觉注意机制的红外弱小目标检测
Infrared dim target detection based on visual attention mechanism
摘要
Abstract
An algorithm based on the human visual attention mechanism was proposed in this article. The background was suppressed by the top-hat transform of mathematical morphology.The ROIs (region of interest)of the image can be obtained by segmenting the saliency map which is calculated according to the difference of the target and the background around it.The difference of Gaussians (DOG)filter was used to process the image in the scale space,and the image’s signal-to-clutter ratio (SCR)could be enhanced.Considering the targets are easily submerged in the background and in or-der to prevent the targets not being detected,the PID algorithm was used to track the targets.The Retinex theory was used to enhance the local domain of the target and the target could be re-detected by segmenting the domain.Experimental results show the proposed method can detect the target well and it is stable in a variety of background.When the small target is submerged in the background,it can detect the target well also.关键词
图像处理/视觉注意机制/感兴趣区域/显著图/目标检测Key words
image processing/visual attention mechanism/region of interest/saliency map/target detection分类
信息技术与安全科学引用本文复制引用
邓亚平,王敏..基于视觉注意机制的红外弱小目标检测[J].华中科技大学学报（自然科学版）,2015,(z1):182-186,5.基金项目
国家自然科学基金资助项目（61370180）． （）
