JOURNAL OF TEXTILE RESEARCH ›› 2005, Vol. 26 ›› Issue (2): 69-71.

• 分析探讨 • Previous Articles     Next Articles

Matching of textile image based on the biggest multi-symbol information entropy

BAO Xiao-min;WANG Ya-ming;LUO Yi-ping;XU Zhou   

  1. Computer Vision and Pattern Recognition Research Center;Zhejiang University of Science and Technology;Hangzhou;Zhejiang 310018;China
  • Received:1900-01-01 Revised:1900-01-01 Online:2005-04-15 Published:2005-04-15

Abstract: Detecting the composing of the textile image by using machine vision technology.The matching way of textile image was researched.The entropy function is a continuous function and has extreme property.The biggest multi-symbol information entropy was applied into the detection and matching of fabric images,each point in an image was considered as a one-symbol source,the whole image was considered as multi-symbol source.The information entropy of the selected sub-image in the textile image of finished product which has the same size as the standard sub-image was calculated.If the information entropy of the selected sub-image was equal to that of the standard image,the standard sub-image was detected from the textile image,otherwise the standard sub-image was not detected.The experimental results indicate that method is efficient and practicable.

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