Textile Science and Engineering (한국섬유공학회지)

The Korean Fiber Society (한국섬유공학회)
권호 표지

Pattern Recognition of Woven Fabrics Employing the Artificial Neural Network

신경망을 이용한 직물조직의 인식에 관한 연구

  • Jeon, Boong-Soo (Department of Textile Engineering, Sungkyunkwan University) ;
  • Kim, Min (Korea Textile Inspection and Testing Institute)
  • 전붕수 (성균관대학교 섬유공학과) ;
  • 김민 (한국섬유기술연구소)
  • Published : 1999.01.01

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Abstract

A method to recognize the type of woven fabric was developed by employing neural networks. In the analysis, transmission image of the woven fabric was used to obtain the yarn position, while reflection image was used to obtain the ellipsoidal aspect ratio of warp/weft interlacing point. The Learning Vector Quantization algorithm was used as a neural network and trained by applying the aspect ratio as the input value. Three fundamental types of woven fabrics could be successfully recognized by the analysis.

Keywords

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