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基于图像距离差的织物疵点检测算法研究
引用本文:郑 广,周万珍,马红霞,乔 军.基于图像距离差的织物疵点检测算法研究[J].河北科技大学学报,2006,27(3):239-241.
作者姓名:郑 广  周万珍  马红霞  乔 军
作者单位:河北科技大学信息科学与工程学院,河北石家庄,050054;石家庄市机械技工学校教务处,河北石家庄,050061
基金项目:河北省科技攻关计划项目(05213547)
摘    要: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,即图像采集、图像处理、疵点识别等。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30多种常见的疵点,实验证明该算法具有识别正确率高、误识率低、识别速度快等优点。

关 键 词:疵点检测  动态阈值  数字图像处理  二值化  图像测量
文章编号:1008-1542(2006)03-0239-03
收稿时间:2006/4/14 0:00:00
修稿时间:2006年4月14日

Fabric defect detection method based on image distance difference
ZHENG Guang,ZHOU Wan-zhen,MA Hong-xia and QIAO Jun.Fabric defect detection method based on image distance difference[J].Journal of Hebei University of Science and Technology,2006,27(3):239-241.
Authors:ZHENG Guang  ZHOU Wan-zhen  MA Hong-xia and QIAO Jun
Institution:College of Information Science and Engineering, Hebei University of Science and Technology,Shijiazhuang Hebei 050054,China;College of Information Science and Engineering, Hebei University of Science and Technology,Shijiazhuang Hebei 050054,China;College of Information Science and Engineering, Hebei University of Science and Technology,Shijiazhuang Hebei 050054,China;Educational Administration,Shijiazhuang School of Mechanism and Mechanic,Shijiazhuang Hebei 050061,China
Abstract:By applying machine vision and digital image processing technology to fabric defect detection,this paper puts forward a new method of detection of fabric defect,namely image distance difference arithmetic,which includes image collection,image precess and defect detection.The system permits users 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,with the advantages of high identification correctness and fast inspection speed.
Keywords:fabric defect detection  dynamic threshold  digital image processing  two-valuezition  image measurement
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