Defect Detection and Classification on Web Textile Fabric using Multiresolution Decomposition and Neural Networks
نویسندگان
چکیده
VLSI Design Laboratory, a Applied Electronics Laboratory Department of Electrical and Computer Engineering University of Patras, Rio 26500, Greece ABSTRACT In this paper a pilot system for defect detection and classification of web textile fabric in real-time is presented. The general hardware and software platform, developed for solving this problem, is presented while a powerful novel method for defect detection after multiresolution decomposition of the fabric images is proposed. This method gives good results in the detection of low contrast defects under real industrial conditions, where many types of noise is present. An artificial neural network, trained by a back-propagation algorithm, performs the defect classification in categories.
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Fabric defect inspection system using neural network
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