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Estimation of Parameters to Model a Fabric in a Way to Identify Defects

  • V. Subhashree
  • S. PadmavathiEmail author
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Fabric defect detection is a quality check process which can locate and identify defects caused during the production process in the textile industry. Automated defect identification system uses computer vision and pattern recognition techniques whose performance depends majorly on the quality and quantity of the input dataset. A wide range of parameters is considered for decision process which compromises the accuracy of the system. This paper aims to estimate suitable parameters for the defect-free fabric which can be used by traditional methods to identify the defects in an efficient way. Hough-transform-based method is proposed to identify the parameters and the algorithm is experimented on various fabrics. The proposed method gives promising results when the horizontal and vertical threads are evident in the image.

Keywords

Defect detection Quality assurance Textile industry Morphological operations Hough transform 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAmrita School of Engineering, Coimbatore, Amrita Vishwa VidyapeethamCoimbatoreIndia

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