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%.

• Periodical: Advanced Materials Research (Volumes 332-334)
• Pages: 1167-1170
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.332-334.1167
• Online since: September 2011
• Authors: Chang Sheng Zhang, Wei Ke, Guo He Wang
• Keywords: BP Neural Network (BPNN), Fabric Structure, GLCM, Image Processing

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