REAL-TIME DETECTION OF KNITTING FABRIC DEFECTS USING SHEARLET TRANSFORM

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Tekstil ve Konfeksiyon
Volume:29 Issue:1
REAL-TIME DETECTION OF KNITTING FABRIC DEFECTS USING SHEARLET TRANSFORM

REAL-TIME DETECTION OF KNITTING FABRIC DEFECTS USING SHEARLET TRANSFORM

Authors : Kazim HANBAY, Muhammed Fatih TALU, Ömer Faruk ÖZGÜVEN, Dursun ÖZTÜRK

Pages : 1-10

Doi:10.32710/tekstilvekonfeksiyon.482888

View : 60 | Download : 15

Publication Date : 2019-03-26

Article Type : Research Paper

Abstract :This paper proposes a vision-based fabric inspection system for the circular knitting machine. Firstly, a comprehensive fabric database called Fabric Defect Detection Database insert ignore into journalissuearticles values(FDDD); are constructed. To extract significant features of fabric images, shearlet transform is used. Means and variances are calculated from all subbands and combined into a high-dimensional feature vector. The proposed system is evaluated on a circular knitting machine in a textile factory. The real-time performance analysis is only carried out by inspecting single jersey knitted fabric. Our proposed system achieves the highest accuracy of 94.0% in the detection of single jersey knitting fabric defects.
Keywords : Fabric defect detection, real time inspection, texture classification

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