Infrared Complex Background Suppression Based on Vision Perception Model

摘要：

To improve the detection performance for weak and small targets signal in complex infrared background,an infrared background suppression algorithm based on vision perception model is presented. Firstly,with simple cell receptive field model,original infrared image is decomposed to two images by different Gabor functions using convolution. And then,the nonlinear convergence function of complex cell response is utilized to fusion two images. Finally,the target image is obtained by using classical adaptive threshold method. Several experimental results demonstrate that the proposed method can suppress the infrared background effectively,compared with several classical infrared background suppression methods.

关键词： infrared image background suppression target detection vision perception mode

作者: Qin Han-lin Cheng Maolin Zhou Hui-xin Lai Rui Zhang Xiang

作者单位: School of Technical Physics,Xidian University,Xian,Shaanxi,710071,China School of Microelectronics,Xidian University,Xian,Shaanxi,710071,China No.203 Research Institute of China Ordance Industries,Xian,Shaanxi,710065,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 1170-1173

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）