摘要
目前钢板淬火生产线的板形只能依赖人力手工测量。为了提高效率和精度,为淬火板形智能控制提供基础,本项目研究了基于视觉识别的淬火钢板板形检测系统,开发了相关的图像处理算法。基于钢板图像特征提出一种改进了的Canny边缘检测算法。改进后的Canny算法通过局部自适应阀值,能够有效去除噪声影响,得到高质量的激光条纹边缘。
At present,the shape of steel plate in quenching production line can only be manually measured.In order to improve the efficiency and precision and provide the basis for the intelligent control of plate shape,a plate shape detection system based on visual recognition is studied,and a related image processing algorithm is developed.Based on the image features of steel plate,an improved Canny edge detection algorithm is proposed.The algorithm can calculate the adaptive threshold,remove the noise influence effectively and get the high quality fringe of laser stripe.
作者
许博文
唐朝
张田
李家栋
XU Bowen;TANG Chao;ZHANG Tian;LI Jiadong(School of Sino-Dutch Biomedical and Information Engineering,Northeastern University,Shenyang 110819,China;Materials Institute,Northeastern University,Shenyang 110819,China)
出处
《软件工程》
2018年第6期1-3,共3页
Software Engineering
关键词
淬火板形
图像处理
边缘检测
steel plate shape
image processing
edge detection
