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基于图像距离差的织物疵点检测算法
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本文将机器视觉与数字图像处理技术引入到织物疵点检测中，提出了一种织物疵点检测算法——图像距离差算法。该算法可使用户根据织物的类型，自行设置相应的疵点检测控制参数，能够检测出三十多种常见的疵点。实验证明该算法具有识别正确率高，识别速度快等优点。
关键词:疵点检测，动态阈值，二值化，图像处理
Fabric Defect Detection Method Based on Image Distance Difference LU Yun1,2，ZHANG Jing-miao3，JIANG Jian-wei1 1．College of Information and Technology, Hebei University of Economics and Business，Shijiazhuang，050061； 2．College of Information science and engineering, Hebei University of Science and Technology, Shijiazhuang, 050054； 3．Computer Center, Hebei University of Economics and Business, Shijiazhuang, 050061) Abstract: By using machine vision and digital image processing technology to fabric defect detection, this paper brings forward a new method of detection of fabric defect, namely image distance difference arithmetic. The arithmetic permit user to set appropriate control parameter of fabric defect defection based on the type of the fabric. It can detect more than 30 kinds of common defects, and by experiments proved it has advantages of high identification correctness and fast inspection speed.
Keywords: fabric defect detection, dynamic threshold, two-valuezition, image measure
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