期刊文献+

基于骨架模板匹配的彩色印刷品文字缺陷检测 被引量:3

Color Printing Character Defect Inspection Based on Skeleton Template Matching
下载PDF
导出
摘要 针对彩色印刷品文字缺陷检测难等问题,提出了基于骨架模板匹配的文字缺陷检测方法。选取标准样本图像中有代表性的颜色,经过粗分割和精分割,提取主颜色;在每个主颜色的色板上分析连通分量区域几何位置关系,定位文字区;逐步细化文字区色板并赋予不同权值,得到骨架模板;把待检样品图像与骨架模板匹配得到缺陷信息并标记在待检样品图像上,完成缺陷检测。实验结果表明,该方法能有效消除印刷过程中多种干扰带来的抖动和配准精度对文字缺陷检测的影响,精确实现文字缺陷检测。 A character defect inspection method based on skeleton template matching is presented to deal with the detection problems of character breakage or stroke break. The dominant color is extracted by coarse segmentation and fine segmentation of the typical pixels from standard image samples. Regional geometric location of connected component is analyzed and text area is located on color planes of each dominant color. The text skeleton template is obtained by using the progressive refinement of color planes in text area. The sample images for inspection to skeleton template are matched in order to gain defect information and the defect information on sample images is labeled. Experiment results show that this method is able to eliminate the effects which are caused by twitter from interferences in the printing process and registration accuracy of text defect detection. It achieves an accurate defect inspection result.
机构地区 湖南工业大学
出处 《包装学报》 2010年第1期38-41,共4页 Packaging Journal
基金 湖南省科技计划基金资助项目(2008FJ3034) 湖南工业大学研究生创新基金资助项目(CX0902)
关键词 文字缺陷检测 颜色减少 文字定位 骨架模板 character defect inspection color reduction text location skeleton template
  • 相关文献

参考文献8

  • 1Helmut Kipphan. Handbook of Print Media: Technologies and Production Methods[M]. Heidelberger: Heidelberger Druchmaschinen AG, 2001 : 225-228. 被引量:1
  • 2赵键..印刷品套印质量检测方法研究[D].国防科学技术大学,2006:
  • 3陈亚军,张二虎.基于图像处理的印刷缺陷在线检测系统研究[J].包装工程,2005,26(6):64-66. 被引量:46
  • 4Jung K. Text Information Extraction in Images and Video: A Survey[J]. Pattern Recognition, 2004, 37(5) : 977-997. 被引量:1
  • 5Nikolaou N, Badekas E, Papamarkos N, et al. Text Localization in Color Documents[C]// International Conference on Computer Vision Theory and Applications. Setubal: Portugal Springer Press, 2006 : 181-188. 被引量:1
  • 6Ye Q, Jiao J, Huang J, et al. Text Detection and Restoration in Natural Scene Images[J]. Journal of Visual Communication and Image Representation, 2007, 18(6) : 504-513. 被引量:1
  • 7韩彦芳,施鹏飞.基于数字图像处理的表面缺损检测技术[J].测控技术,2005,24(9):15-18. 被引量:18
  • 8陈斌..基于机器视觉技术的印刷质量在线检测关键技术研究[D].中国科学院成都计算机应用研究所,2005:

二级参考文献39

  • 1王红梅,张科,李言俊.图像匹配研究进展[J].计算机工程与应用,2004,40(19):42-44. 被引量:107
  • 2杨焱,黎明,朱娅妮.基于静态小波分解的多尺度机加工表面图像滤波[J].计算机仿真,2004,21(8):141-144. 被引量:3
  • 3薛延学,张二虎,吴学毅.基于计算机视觉的印刷包装品缺陷检测系统[J].包装工程,2004,25(5):185-187. 被引量:19
  • 4Cootes T F, Page G J, Jackson C B,Taylor C J. Statistical grey-level models for object location and identification [ J ].Image and Vision Computing, 1996, (14) :533 -540. 被引量:1
  • 5Lin C S, Li W L. An image system for fast positioning and accuracy inspection of ball grid array boards[ J]. Microelectronics Reliability,2001, (41) : 119 - 128. 被引量:1
  • 6Kass M, Witkin A, Terzopoulos D. Snakes:active contour models [ J ]. International Journal of Computer Vision,1987,1(4) :321 -331. 被引量:1
  • 7Zhuang F,Zhao Y, Liu Y, Cao Q, Chen M, Zhang J, Lee J.Solar cell crack inspection by image processing [ A ]. Inter.Conf. On the Business of Electronic Product Reliability and Liability, 2004, (27 - 30) : 77 - 79. 被引量:1
  • 8Bergasa L, Duffy N, Lacey G, Mazo M. Industrial inspection using Gaussian functions in a colour space [ J ]. Image and Vision Computing,2000, ( 18 ) :951 - 957. 被引量:1
  • 9Chan C, Pang G. Fabric defect detection by Fourier analysis[ A]. Industry Applications Conference,Thirty- Fourth IAS Annual Meeting,1999, (3 -7) :1 743 - 1 750. 被引量:1
  • 10Clelia M, Ettore S, Massimiliano N, Nicola A, Arcangelo D.Rail corrugation detection by Gabor filtering [ A ]. Proceedings. International Conference on Image Processing,2001,2(7 - 10) :626 -628. 被引量:1

共引文献62

同被引文献22

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部