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《Chinese Journal of Electron Devices》 2008-03
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Adaptive Detection of Fabric Flaw Based on Statistical Information

HAN Li-wei1, XU De1,WANG Lin-kun21.Laboratory of Complex Systems and Intelligence Science Institute of Automation, Chinese Academy of Sciences,Beijing 100080,China;2.Instrumentation Technology & Economy Institute,Beijing 100055,China  
In the detection of fabric flaw based on template matching, statistical information of natural and normal texture of the fabric can be extracted via collecting and analyzing the gray image. On the basis of the statistical information acquired, both template and judging threshold are produced and updated adaptively in real-time according to the real textures of fabric, which has better flexibility and universality. The experimental results demonstrate the validity of the proposed method.
【Fund】: 国家自然科学基金资助项目(60672039)
【CateGory Index】: TP391.41
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