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。
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.
出处
《河北科技大学学报》
CAS
2006年第3期239-241,共3页
Journal of Hebei University of Science and Technology
基金
河北省科技攻关计划项目(05213547)
关键词
疵点检测
动态阅值
数字图像处理
二值化
图像测量
fabric defect detection
dynamic threshold
digital image processing
two-valuezition
image measurement
