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基于成对几何直方图的PCB标志检测与匹配 被引量：3

Detection and Match of PCB Mark Based on Pair-wise Geometrical Histogram
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摘要 矩方法和模板匹配方法在PCB标志检测中长期被使用,但是这两种方法存在低速和匹配率低下等问题。由于图像的形状特征对各种干扰具有很好的稳健性,本文提出一种利用Freeman链码描述图像轮廓,然后利用顶点检测算法简化图像的顶点以减少计算量,最后利用这一图像轮廓生成成对几何直方图,利用其旋转不变性对图像进行基于轮廓的检测与匹配的方法。实验结果表明利用成对几何直方图方法进行的PCB标志检测与匹配的综合正确检测率高达96%。 Aiming at the low speed and match rate of the moment method and template match method, which have been used in the detection of PCB marks for a long time, and for the robustness of the image shapes, this article proposes a method that uses Freeman chain code to extract the contours of images and vertex detection algorithm to simplify the vertexes of the contours. Final- ly the pair-wise geometrical histograms whose rotation invariance is applied in the detection and match of PCB mark are generated by these vertexes. The experimental results using this method indicate that the comprehensive correct match rate is up to 96%.
作者 苏见欣 姚剑敏 郭太良 林志贤
机构地区 福州大学物理与信息工程学院
出处 《计算机与现代化》 2012年第6期43-46,共4页 Computer and Modernization
基金 国家"863"计划基金资助项目(2008AA03A313) 国家自然科学基金资助项目(61101169) 福建省自然科学基金资助项目(2010J01333 2011J01347) 福建省教育厅基金资助项目(JA09003 JA10033 JA11013)
关键词 FREEMAN链码 成对几何直方图 旋转不变性 顶点简化 Freeman chain code pair-wise geometrical histogram rotation invariance simplification of vertexes
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献13

  • 1Aslandogan Y A, Yu C T. Techniques and Systems for Im- age and Video Retrieval[ J]. IEEE Transactions on Knowl-edge and Data Engineering, 1999,11 ( 1 ) :56-63.
  • 2赵晨,任郁苗.基于形状的图像检索技术研究[J].现代电子技术,2008,31(13):159-162. 被引量：4
  • 3Griffin Paul M, ~illalobos J Rene ,Foster Ill Joseph W, et al. Automated visual inspection of bare printed circuit boards[J]. Computers & Industrial Engineering, 1990,18(4) :505-509.
  • 4Foster III Joseph W, Griffin Paul M, Messimer Sherri L, et al. Automated visuat inspection : A tutorial [ J ]. Com- puters & Industrial Engineering, 1990,18 (4) :493-504.
  • 5West G A W, Norton-Wayne L, Hill W J. The automatic visual inspection of printed circuit boards [ J ]. Circuit World, 1982,8(2) :50-56.
  • 6张小莉,王敏,黄心汉.一种有效的基于Freeman链码的拐角检测法[J].电子测量与仪器学报,1999,13(2):14-19. 被引量：25
  • 7Prazdny K. Position-, rotation-, and scale-invariant pattern recognition using parallel distributed processing[ C ]//Pro- ceedings of the 1st IEEE International Conference on Com- puter Vision. 1987:636-640.
  • 8Zuniga O A, Haralick R. Corner detection using the Facet model[ C ]// Proceedings of the 1983 IEEE International Conference on Computer Vision and Pattern Recognition. 1983:30-37.
  • 9Wu Z, Rasenfeld A. Filtered projections as an aid in comer detection[J]. Pattern Recognition, 1983,16(1) :31-38.
  • 10Freeman H, Davis L S. A corner-finding algorithm for chain-coded curves[ J]. IEEE Transactions on Computers, 1977,26 (3) :297-303.

二级参考文献10

  • 1冈萨雷斯.数字图像处理[M].北京:电子工业出版社,2005.
  • 2Yong Rui, Thomas S Huang. Image Retrieval: Current Techniques, Promising Directions, and Open Issues[J].Journal of Visual Communication and Image Representation,1999,10:39 - 62.
  • 3Flicker M. Query by Image and Video Content.. The QBIC System. IEEE Computer, 1995,28 (9) : 23 - 32.
  • 4Pentland A,Picard R W, Sclaroff S. Content - based Mani - pulation of Image Databases [J]. Int. Journal of Computer Vision, 1996.
  • 5John R Smith,Shih- Fu Chang. A Fully Automated Content -based Image Query System. ACM Multimedia 96, BostOn, MA,1996.
  • 6John R Smith, Shih -Fu Chang. Visually Searching the Web for Content[J]. IEEE Multimedia Magazine,1997.
  • 7Dengsheng Zhang,Guojun Lu. Review of Shape Representation and Description Techniques. Pattern Recognition, 2004, 37:1 - 19.
  • 8Zhang Dengsheng, Lu Guojun. Review of Shape Representation and Description Techniques. Pattern Recognition, 2004,37:1 - 19.
  • 9Ang Y H. Image Retrieval Based on Multidimensional Feature Properties. SPIE, 1995 : 47 - 58.
  • 10Ratha N K,Karu K,Chen S,et al. A Real - time Matching System for Large Fingerprint Database. IEEE PAMI, 1993, 18(8) :799 - 813.

共引文献57

同被引文献20

  • 1[6]冈萨雷斯.数字图像处理[M].阮秋琦译.第二版.北京:电子工业出版社,2007
  • 2冈萨雷斯.数字图像处理.2版[M].北京:电子工业出版社,2007.
  • 3GonzalezRC,WoodsRE.数字图像处理[M].北京:电子丁业出版社,2011:402-426.
  • 4王晅,马建峰.数字图像分析与模式识别[M].北京:科学出版社,2011.
  • 5Pawel Wrobel,Mateusz Czyzycki,Leszek Furman,et al.LabVIEW control software for scanning micro-beam X-ray fluorescence spectrometer[J].Talanta,2012,16 (2):186-192.
  • 6Gonzalez R C,Woods R E.数字图像处理:3版[M].阮秋琦译.北京:电子工业出版社,2011.
  • 7Wrobel P, Czyzycki M, Furman L, et al. LabVIEW control software for scanning micro-beam X-ray fluorescence spectrome- ter [ J ]. Talanta,2012,16 (2) : 186 - 192.
  • 8ZHANG J, HUANG X Y. A survey of plant recognition method based on image processing [C]∥ International Conference on IEEE Electrical and Control Engineering. Wuhan: IEEE, 2010: 4974-4977.
  • 9TAN W N, SEM R, TAN Y F. Blooming flower recognition by using eigenvalues of shape features [C]∥ 6th International Conference on Digital Image Processing International Society for Optics and Photonics. [S. l.]: ICDIP, 2014: 4177-4180.
  • 10SAITOH T, KANEKO T. Automatic recognition of wild flowers [C]∥ Pattern Recognition, International Conference on IEEE Computer Society. [S. l.]: IEEE, 2000: 2507.

引证文献3

二级引证文献6

计算机与现代化
2012年 第6期

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