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Real-Time Denim Fabric Inspection Using Image Analysis

Research and development

Authors:

Nr DOI: 10.5604/12303666.1152514

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Abstract:

In spite of using modern weaving technology, many types of fabric defects occur during production. Most defects arising in the production process of a fabric are still detected by human inspection. A machine vision system that can be adapted to different types of fabric inspection machines is proposed in this study. Image frames of denim fabric were acquired using a CCD line-scan camera. An algorithm was developed by using the Gabor filter and double thresholding methods. The performance of the algorithm was tested real-time by analysing a denim fabric sample which contained six types of defects: hole, warp lacking, weft lacking, soiled yarn, water soil and yarn flow (knot). The defective regions of the denim fabric sample were detected and labelled successfully.

Tags:

image processing, real-time fabric inspection, Gabor filter, denim fabric, machine vision system.

Citation:

Çelik HI, Topalbekiroğlu M, Dülger LC. Real-Time Denim Fabric Inspection Using Image Analysis. FIBRES & TEXTILES in Eastern Europe 2015; 23, 3(111): 85-90. DOI: 10.5604/12303666.1152514

Published in issue no 3 (111) / 2015, pages 85–90.

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FIBRES & TEXTILES
in Eastern Europe
ul. Skłodowskiej-Curie 19/27,
90-570 Łódź, Poland
e-mail: infor@lit.lukasiewicz.gov.pl
ftee@lit.lukasiewicz.gov.pl
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EDITORIAL OFFICE
FIBRES & TEXTILES in Eastern Europe 19/27 M. Skłodowskiej-Curie Str., 90-570 Łódź, Poland e-mail: infor@lit.lukasiewicz.gov.pl; ftee@lit.lukasiewicz.gov.pl

EDITORIAL DEPARTMENT
Editor-in-Chief Dariusz Wawro, Head of Editorial Office Janusz Kazimierczak, Text Editor Geoffrey Large, Assistant Editor Anna WahlProduction Łukasiewicz-ŁIT

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