期刊文献+

基于暗区连通域的定位孔识别方法

Positioning holes recognition based on dark connected areas
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摘要 为了在普通扫描仪上实现自动化线拍系统,提出了一种基于暗区连通域的定位孔识别方法。介绍了暗区连通域的可分割性原理,该原理是定位孔连通域被准确分割的基础,也是定位孔能被正确识别的前提。该方法先依据该原理计算出连通域的分割阀值,然后对定位孔的形状及其相互位置关系进行了特征建模,利用模板匹配方法实现定位孔识别。对总共83张动画稿扫描图像进行定位孔识别测试,实验结果表明,定位孔识别正确率98.80%,对于1740万像素的动画稿图片,识别速度也能达到15.27ms/page。 To implement an automatic line-test system on general scanner,this paper proposes a method of positioning holes recognition based on dark connected areas.This paper introduces a segmentation principle for dark connected areas,which is the basis of connected areas to be correctly segmented and is also the basis of positioning holes to be correctly recognized. The segmentation threshold is calculated.Then a model is built for shape and relative position of positioning holes.At last a template matching method is used to recognize positioning holes.The experimental results show that the accuracy of recognition based on this method is 98.80%,and speed reaches 15.27 ms/page on 17.4 million pixels pictures.
出处 《计算机工程与应用》 CSCD 北大核心 2011年第34期215-218,共4页 Computer Engineering and Applications
基金 浙江省自然科学基金(No.Y1090903)
关键词 暗区连通域 模板匹配 定位孔识别 dark connected areas template matching positioning holes recognition
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参考文献6

  • 1Stemby J, Morwing J, Andersson J, et al.On-line Arabic handwriting recognition with templates[J].Pattem Recognition, 2009, 42(12) : 3278-3286.
  • 2Mirhosseini A R, Yah H, Lain K M, et al.Human face image reeognitlon: an evidence aggregation approach[J].Computer Vision and Image Understanding, 1998,71 (2) : 213-230.
  • 3赵强,高勇,张晓晖.FPGA平台实现基于遗传算法的图像识别的研究[J].计算机工程与应用,2009,45(22):175-179. 被引量:2
  • 4Uz T, Bebis G, Erol A, et al.Minutiae-based template synthesis and matching for fingerprint authentieation[J].Computer Vision and Image Understanding, 2009, 113 (9) : 979-992.
  • 5Reichenbach S E, Carr P W, Stoll D R, et al.Smart templates for peak pattern matching with comprehensive two-dimensional liquid ehromatography[J].Journal of Chromatography A, 2009, 1216(16/17) :3458-3466.
  • 6沈怡,蔡士杰,高晓.建筑工程图符号的特征匹配识别方法[J].计算机辅助设计与图形学学报,2003,15(9):1065-1069. 被引量:4

二级参考文献11

  • 1陈峻岭,姜新建,朱东起,邓礼宽.基于遗传算法混合有源滤波器参数的多目标优化[J].清华大学学报(自然科学版),2006,46(1):5-8. 被引量:19
  • 2张晓晖,刘丁.仿人视觉过程的机器人视觉伺服系统研究[J].计算机工程与应用,2007,43(18):11-14. 被引量:4
  • 3Nezis K, Vosniakos G. Recognition 2.5D shape feature using a neural network and heuristics [J]. Computer-Aided Design,1997, 29(7): 523--539.
  • 4You C F, Yang S S. Reconstruction of eurvilinear manifold objects from orthographic views [J]. Computers & Graphics,1996, 20(2): 275--293.
  • 5Falk G. Interpretation of imperfect line data as three-dimensional scene [J]. Artificial Intelligence, 1972, 3(2) : 101 - 144.
  • 6Waits D L. Understanding line drawings of scenes with shadows[A]. In: Winston P H, ed. Proceedings of the Psychology of Computer Vision [C]. New York: McGraw-Hill, 1975. 458--469.
  • 7Cheng T, Khan J, Liu H, et al. A symbol recognition system[A]. In: Proceedings of the 2nd International Conference on Document Analysis and Recognition [C]. Tsukuba Science City,Japan: IEEE Computer Society Press, 1993, 918--921.
  • 8EUiman D G, Connor P J. Orientation and scale invariant symbol recognition using a hidden Markov model [A]. In:Proceedings of International Conference on Image Processing and Its Applications [C]. Maastricht, Netherlands: IEE Press,1992, 331--334.
  • 9Tombre K. Ten years of research in the analysis of graphics documents: Achievements and open problems [A]. In:Proceedings of the 10th Portuguese Conference on Pattern Recognition, Lisbon, Portugal, 1998. 11--17.
  • 10Dori D, Liu W. Automated CAD conversion with the machine drawing understanding system: Concepts, algorithm, and performance [J]. IEEE Transaction on System, Man, and Cybernetics-part A: System and Humans, 1999, 29(4) : 411--416.

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