• Title/Summary/Keyword: Fabric image pattern detection

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Development of Weft Straightener Using Fabric Pattern Detection Algorithm and Performance Evaluation (원단 패턴 검출 알고리즘을 적용한 원단교정기 개발 및 성능평가)

  • Lee, Jae-Yong;Chung, Yun-Soo;Kim, Dae-Sub;Bae, Gyu-Hyun;Bae, Jae-Sung;Lee, Dae-Hee
    • Korean Journal of Computational Design and Engineering
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    • v.22 no.1
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    • pp.70-79
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    • 2017
  • Weft straightener is an important process to control the final quality of the fabrics. It is needed to calibrate the distorted weft after dyeing process. During various fabric treatment processes, the fabric is almost done with heat treatment through a tenter machine. At this time, weft distortion is occurred with uneven tension distribution. Traditionally, photo sensor is commonly used to detect the weft distortion but it is not applicable for special fabric types such as twill, mesh, combi, etc. In this paper, a new method for detecting the weft distortion using camera is introduced. A new weft straightener simulator is also developed to test the ability of the proposed method. It is shown that the method can be applied for various fabric types.