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RULE-BASED FABRIC INSPECTION USING MACHINE VISION
作者姓名:李允明  兰东
作者单位:Department of Electrical Engineering and Computer Science,Department of Electrical Engineering and Computer Science
摘    要:Automatic visual inspection of fabric is not only one of the potential application of machinevision but a considerable challenge in textile engineering as well.This paper mainly discusses howto inspect fabric defects using machine vision.The introduced inspection system has a feature of:(?)Categorizing the fabric defects into 4 groups,for each group diffcrent image processing and recog-nizing methods are designed for fast and efficient inspection:2.The inspection and recognitionparameters are determined by training and self learning,these parameters vary with different kindsof fabric;3.Human inspetor's experiences are summed up as rules to ensure the system has a s(?)lar evaluation performance of human inspector.This system can detect most of the fab(?) defects.the total recognition error is less than 5% except for the detection error of yarn irregularity,whichcould be as high as 20%.


RULE-BASED FABRIC INSPECTION USING MACHINE VISION
Li Yunming Lan Dong.RULE-BASED FABRIC INSPECTION USING MACHINE VISION[J].Journal of Donghua University,1993(3).
Authors:Li Yunming Lan Dong
Institution:Department of Electrical Engineering and Compurer Science
Abstract:Automatic visual inspection of fabric is not only one of the potential application of machine vision but a considerable challenge in textile engineering as well.This paper mainly discusses how to inspect fabric defects using machine vision.The introduced inspection system has a feature of:(?) Categorizing the fabric defects into 4 groups,for each group diffcrent image processing and recog- nizing methods are designed for fast and efficient inspection:2.The inspection and recognition parameters are determined by training and self learning,these parameters vary with different kinds of fabric;3.Human inspetor's experiences are summed up as rules to ensure the system has a s lar evaluation performance of human inspector.This system can detect most of the fab defects. the total recognition error is less than 5% except for the detection error of yarn irregularity,which could be as high as 20%.
Keywords:computer vision  automatic inspection  fabric inspection  machine vision  
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