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基于动态规划的红外小目标检测与识别
引用本文:李斌,彭嘉雄.基于动态规划的红外小目标检测与识别[J].华中科技大学学报(自然科学版),2000,28(6):68-70.
作者姓名:李斌  彭嘉雄
作者单位:华中理工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:国防预研基金资助项目(97J2.4.4.JW0517)
摘    要:研究了天空背景下红外运动小目标的检测与识别.对序列红外图像进行增强处理,通过模板滤波去除弱噪声;运用分割算法和聚类分析把目标和强噪声从背景中分离出来,根据所定义的一种距离,运用动态规划的方法找出目标,并得出目标的运动轨迹;给出整套处理方法的实验结果和分析.

关 键 词:图像分割  距离测度  动态规划  目标识别
文章编号:l000-8616(2000)06-0068-03
修稿时间:1999年12月14

Detection and Recognition of Infrared Small Target Based on Dynamic Programming
Li Bin,PENG Jiaxiong.Detection and Recognition of Infrared Small Target Based on Dynamic Programming[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2000,28(6):68-70.
Authors:Li Bin  PENG Jiaxiong
Abstract:The detection and recognition of infrared moving small target in a sky background is considered in this paper. First, the infrared image is enhanced for improving its contrast, and the dim noises are removed by use of the template filter. Second, the segmentation algorithm and clustering analysis are presented for separate the target and brighter noises from the background. Third, according to the distance measure and dynamic programming, the targets in an image sequence are recognized and the moving trajectory of the target is gotten. The experiment results are analyzed and the existing problem is discussed.
Keywords:image segmentation  distance measure  dynamic programming  target recognition
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