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Canny特征在基于内容的图像检索中的应用 被引量:2

A content-based image retrieval method based on Canny feature
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摘要 在基于内容的图像检索中,枪支一类图像的检索有其自身难点.将Canny边缘检测算法应用于图像检索中,以待检图像的Canny特征作为检索特征,提出了一种结合矩阵相似度理论的基于内容的图像检索算法.并以手枪图像的检索为例,对算法进行了实验测试.实验结果表明,该图像检索算法具有较高的查准率、查全率和较低的误检率. Duo to the unique appearance of the gun image, most content - based image retrieval method is not able to retrieve gun image effectively. By applying canny algorithm, a content -based image retrieval algo- rithm based on the similarity of matrices is designed in this article. By experiment, the algorithm to the retrieval of gun image is applied. The results have testified the great performance of the algorithm in terms of a high recall ratio, precision ratio and low false alarm ratio in the retrieval.
作者 和睿 孙永奇
出处 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第6期651-657,共7页 Journal of Yunnan University(Natural Sciences Edition)
基金 2010年北京市计算机大学生创新性实验计划项目资助
关键词 图像检索 Canny特征 矩阵相似度 image retrival Canny feature similarity of matrices
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  • 1刘平,陈斌,阮波.基于边缘信息的图像阈值化分割方法[J].计算机应用,2004,24(9):28-30. 被引量:33
  • 2王振海,刘庆虎.基于WWW的图像搜索引擎[J].福建电脑,2005,21(2):18-19. 被引量:3
  • 3Hong Z O,Pattern Recognition,1991年,24卷,3期,211页
  • 4Lin C C,IEEE Pattern Anal Mach Infell,1987年,9卷,5期,686页
  • 5程永清
  • 6Text retrieval Conference (TREC) web page[EB/OL], http://trec. nist. gov/, Sponsored by the National Institute of Standards and Technology (NIST) and U.S. Department of Defense.
  • 7Santini S. Evaluation vademecum for visual information system[J]. Proceedings of SPIE, 2000,3972:132-143.
  • 8Markus Koskela, Jorma Laaksonen, Sami Laakso, et al.Evaluating the performance of content-based image retrieval systems[A]. In: International Conference on Visual Information Systems (Visual 2000) [C], Lyon, France, 2000:2-4.
  • 9McDonald Sharon, Lai Ting-Sheng, Tait John. Evaluating a content based image retrieval system[A]. In.. Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval [C], New Orleans,Louisiana, USA, 2001:232-240.
  • 10Leung C, Ip H. Benchmarking for content-based visual information search[A]. In: International Conference on Visual Information Systems (VISUAL 2000 ) [C ], Lyon, France,2000:2-4.

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  • 1LIU Yao, NING Peng. BitTrickle: Defending against broad- band and high-power reactive jamming attacks [C]// Procee- dings of 2012 IEEE INFOCOM. Orlando: IEEE, 2012: 909-917.
  • 2POPPER C, STRASSER M, CAPKUN S. Anti-jamming broad- cast communication using uncoordinated spread spectrum tech- niques [J]. IEEE Journal on Selected Areas in Communica- tions, 2011, 28(5): 703-705.
  • 3WU Liping, LI Zan, LI Jiandong, et al. A blind algorithm esti- mating pseudo-noise sequence of DSSS signal in lower SNR conditions [C]//2010 3rd IEEE International Congress on Image and Signal Processing. Yantai: IEEE, 2010: 4286-4289.
  • 4BUREL G, BOUDER C. Blind estimation of the pseudo-ran- dom sequence of a direct sequence spread spectrum signal [C]// Proceedings of 2000 the 21st Century Military Communica- tions Conference. Los Angeles: IEEE, 2000: 967-970.
  • 5LIN Feng, ROBERT C Q, HU Zhen, et al. Generalized FMD detection for spectrum sensing under low signal-to-noise ratio [J]. IEEE Communications Letters, 2012, 16(5): 604-607.
  • 6张树江,颜景龙,邢慧.一种基于图像检索的枪弹识别系统[J].兵工学报,2008,29(4):459-463. 被引量:5
  • 7张菁.伪随机码的盲信源分离方法[J].现代电子技术,2010,33(9):78-80. 被引量:1
  • 8张旭,吴潜.扩频测控系统的抗干扰能力分析[J].电讯技术,2011,51(5):23-27. 被引量:13
  • 9冯艳平,王徽.基于阈值分割和边缘检测的枪支TH_z图像识别[J].红外,2011,32(12):23-26. 被引量:2
  • 10刘万贤,彭华.一种突发直扩信号盲检测算法[J].信息工程大学学报,2013,14(6):700-707. 被引量:4

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