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基于视觉注意机制的实时红外小目标预检测
引用本文:王岳环,张天序.基于视觉注意机制的实时红外小目标预检测[J].华中科技大学学报(自然科学版),2001,29(6):7-9.
作者姓名:王岳环  张天序
作者单位:华中科技大学图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室
基金项目:国家自然科学基金资助项目 (6 9875 0 0 5 )
摘    要:在红外小目标检测中引入视觉注意机制,以计算机量较小的预检测为代价减少了目标检测的区域,在注意机制中采用 非线性采样模型,并利用相邻采样点形成显著性图,实验证明基于注意机制的预检测能有效地提高系统的计算效率,同时也具有一定的抗噪能力,可用于噪声环境中的小目标检测。

关 键 词:注意机制  小目标检测  实时图像处理  抗噪能力  生物视觉系统  预检测
文章编号:1000-8616(2001)06-0007-03
修稿时间:2000年12月8日

Real-time Pre-detection for IR Small Target Based on Attention Mechanism
Wang Yuehuan Zhang Tianxu Doctoral Candidate, Institute for Pattern Recognition & AI,HUST Wuhan ,China..Real-time Pre-detection for IR Small Target Based on Attention Mechanism[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2001,29(6):7-9.
Authors:Wang Yuehuan Zhang Tianxu Doctoral Candidate  Institute for Pattern Recognition & AI  HUST Wuhan  China
Institution:Wang Yuehuan Zhang Tianxu Doctoral Candidate, Institute for Pattern Recognition & AI,HUST Wuhan 430074,China.
Abstract:An attention mechanism appropriate for infrared(IR) small target detection is proposed, which is used as pre detection to limit detection in the smaller area. Nonlinear sampling model is adopted and saliency map is formed based on contrast of neighboring sampling nodes. Experiments are presented to demonstrate the improvement of speed of IR small target detection with pre detection. It is proved that the detection has reasonable ability of noise resistance and can be used in the small target detection in clutter background.
Keywords:attention mechanism  small target detection  real  time image processing  noise resistance ability
本文献已被 CNKI 维普 万方数据 等数据库收录!
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