期刊文献+

织物疵点自动检测技术的研究进展 被引量:10

Recent studies on automatic fabric defect detection technique
在线阅读 下载PDF
导出
摘要 介绍了织物纹理特征的提取算法、疵点分类方法和织物图像处理的硬件平台.在分析了各种算法的优点和缺点的基础上,提出了将织物疵点的检测分为粗检和细检两个过程的新思路,既可满足快速性的要求,又具有广泛的适应性. An elaborate overview of the various approaches which are used for fabric defect detection defect classification and hardware platform dealing with fabric images are presented. The algorithms used to extract the characteristics of textile texture are discussed. Based on the analysis of the advantages and disadvantages of these algorithms, a novel thought about algorithm is given. Dividing fabric defect detection system into two stages:simple detect and detailed detect, which has the characteristics of quickness and adaptability.
出处 《郑州轻工业学院学报(自然科学版)》 CAS 2005年第3期69-73,共5页 Journal of Zhengzhou University of Light Industry:Natural Science
关键词 织物疵点 图像分析 纹理 疵点检测 fabric defect image analysis texture defect detection
  • 相关文献

参考文献22

  • 1李立轻,黄秀宝.用于疵点检测的织物自适应正交小波的实现[J].东华大学学报(自然科学版),2002,28(2):77-81. 被引量:19
  • 2Yoshio Shimizu.Expert system to inspect fabric defects by pattern recognition[J].IEEE Transactions on Pattern Recognition,1990,46(3):460-469.
  • 3石美红,张军英,段亚峰.基于改进型PCNN的织物疵点检测的研究[J].丝绸,2002,39(6):14-17. 被引量:8
  • 4Tsai I-Shou,Lin Chung-Hua,Lin Jeng-Jong.Applying an artificial neural network to pattern recogition in fabric defects[J].Textile Research Journal,1995,65(3):123-130.
  • 5Cohen F S,Fan Z,Attali S.Automated inspection of textile fabric using textile models[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1991,13(8):803-808.
  • 6Mohamed Abou-iiana.On line weight and shrinkage control of cotton knits[EB/OL].http://www.ntcresearch.org/pdf-rpts/AnRp03/S01-PH07-A3.pdf,2004-12-10.
  • 7Lewis Dorrity J,George Vachtsevanos,Warren Jasper.Real-time fabric defect detection & control in weaving processes[EB/OL].http://www.ntcresearch.org/pdf-rpts/AnRp94/A94G9402.pdf,2004-12-10.
  • 8Eckhorn R, Reitboeck H J, Arndt M,et al.Feature liking via synchronization among distributed assemblies:simulations of results from cat visual cortex[J].Neural Computation,1990,2(3):293-307.
  • 9Ranganath H S,Kuntimad G.Object detection using pulse coupled neural network[J].IEEE Transactions on Neural Networks,1999,10(3):615-620.
  • 10Johnson J L,Padgett M L. PCNN models and application[J].IEEE Transactions on Neural Networks,1999,10(3): 480-498.

二级参考文献44

  • 1Castleman K R.数字图像处理[M].北京:电子工业出版社,1998.423-430.
  • 2焦李成.神经网络系统理论.西安电于科技大学出版社,1992.
  • 3张立明.人工神经网络的模型及其应用(第1版).上海:复旦大学出版社,1993:21-23.
  • 4边肇祺等.模式识别(第2版).清华大学出版社,2000,1.
  • 5[1]Chang T,Kuo C.J.Texture Analysis and Classification with Tree Structured Wavelet Transform[J].IEEE Trans.On Image Prograssing.1993,2(4):429~441.
  • 6[2]Andrew Laine and Jian Fan.Texture Classification by Wavelet Packet Signature[J].IEEE Trans. On Pattern Analysis and Machine Intelligence.1993,6(3):1186~1191.
  • 7[3]R.Eckhorn,H.J.Reiboeck,M.Arndt,P.W.Dicke.A Neural Networks for Feature Linking via Synchronous Activity:Results from Cat Visual Cortex and simulations[M].In Models of Brain Function,R.M.J.Cotterill,Ed.Cambridge,U.K.:Cambridge Univ.Press,1989,960~972.
  • 8[4]R.Eckhorn.Neural Mechanisms of Scene Segmentation:Recordi-ngs from the Visual Cortex Suggest Basic Circuits or Linking Field Models[J].IEEE Trans.Neural Networks,1999,10(3):464~479.
  • 9[5]J.L.Johnson,M.L.Padgett.PCNN Models and Applications[J].IEEE Trans.Neural Networks,1999,10(3):480~498.
  • 10High-Performance 32-Point Complex FFT [Z]. America : XIL-INX, 2001.

共引文献38

同被引文献59

引证文献10

二级引证文献46

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