Real-Time Denim Fabric Inspection Using Image Analysis
Journal Title: Fibres and Textiles in Eastern Europe - Year 2015, Vol 23, Issue 3
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.
Authors and Affiliations
Halil Çelik, Mehmet Topalbekitoglu, L. Dülger
Keywords
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