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基于兴趣区检测的远距离机场目标识别研究
引用本文:吴伟仁,张天序,彭辉. 基于兴趣区检测的远距离机场目标识别研究[J]. 计算机测量与控制, 2004, 12(4): 319-321
作者姓名:吴伟仁  张天序  彭辉
作者单位:华中科技大学图像所,图像信息处理与智能控制教育部重点实验室,湖北,武汉,430074;华中科技大学图像所,图像信息处理与智能控制教育部重点实验室,湖北,武汉,430074;华中科技大学图像所,图像信息处理与智能控制教育部重点实验室,湖北,武汉,430074
摘    要:典型目标的检测识别是精确制导武器的关键技术之一,具有广泛的应用。根据远距离前视红外机场目标图像的特性,文章提出并实现了一种利用边缘线段群特征检测感兴趣机场目标区域,并进一步分割、识别潜在目标的新算法。仿真实验结果证实算法是合理、有效的。本文的算法结构简单、适应性广、适合于实时处理,具有广泛的应用前景。

关 键 词:兴趣区检测  特征选择  自动目标识别  前视红外
文章编号:1671-4598(2004)04-0319-03
修稿时间:2004-01-21

Investigation of Airdrome Runway Based on Detection of Region of Interest
Wu Weiren,Zhang Tianxu,Peng Huig and Intelligent Control,Institute for PR ,AI,Huazhong University of Science and Technology,Wuhan,China). Investigation of Airdrome Runway Based on Detection of Region of Interest[J]. Computer Measurement & Control, 2004, 12(4): 319-321
Authors:Wu Weiren  Zhang Tianxu  Peng Huig  Intelligent Control  Institute for PR &AI  Huazhong University of Science  Technology  Wuhan  China)
Affiliation:Wu Weiren,Zhang Tianxu,Peng Huig and Intelligent Control,Institute for PR &AI,Huazhong University of Science and Technology,Wuhan430074,China)
Abstract:The detection and identification of typical targets is one of key techniques in precise guiding weapon systems and its application is often wide. In this paper, a new method of airdrome runway based on detection of region of interest is presented. Firstly the characteristic of airdrome runway in front-down infrared images is used to detect edge features, and interesting region is obtained. Secondly the potential target is segmented and recognized by the features of line segment and region. Lots of simulating experiments illustrate that our algorithm is reasonable and available. The structure of algorithm is simple and effective, and algorithm can is real-time implemented.
Keywords:region of interest  feature selection  automatic target detection  front-down infrared
本文献已被 CNKI 维普 万方数据 等数据库收录!
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