Paper Title:
Automatic Recognition Analysis of Fabric Structure Based on GLCM and BP Neural Network
  Abstract

At present, the work to analyze fabric structure still depends on artificial visual measurement, which is easily influenced by personal sight, mood, mental state as well as light condition. With the development of image processing technology and artificial intelligence, automatic analysis on fabric structure as a replacement of manual labor is of great possibility. In this study, features of fabric-image have been extracted by GLCM (Gray Level Co-occurrence Matrix). These features were analyzed by employing a three layer BP neural network. Three kinds of fabric structures such as plain, twill and satin was verified and the accurate recognition rate is very high to 93.45%.

  Info
Periodical
Advanced Materials Research (Volumes 332-334)
Chapter
Chapter 6: Measurement Technology and Instrument
Edited by
Xiaoming Qian and Huawu Liu
Pages
1167-1170
DOI
10.4028/www.scientific.net/AMR.332-334.1167
Citation
C. S. Zhang, W. Ke, G. H. Wang, "Automatic Recognition Analysis of Fabric Structure Based on GLCM and BP Neural Network", Advanced Materials Research, Vols. 332-334, pp. 1167-1170, 2011
Online since
September 2011
Export
Price
$32.00
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