基于机器视觉检测钢板板形的图像处理方法研究
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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.
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.
引文
[1]SU L H,YU L W,Ma X H.Research of the technology of flatness detection for steel strip based on linear laser[C].Proceeding of the 2010 International conference on electrical and Control engineering.IEEE Computer Society,2010:5474-5477.
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[4]CANNY J.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,1986(6):679-698.
[5]BAO P,ZHANG L,WU X.Canny edge detection enhancement by scale multiplication[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,2005,27(9):1485-1490.
[6]Health M,Sarkar S,Sanocki T.Comparison of edge detectors:a methodology and initial study[J].Computer Vision and Image Understanding,1998,69(1):38-54.
[2]LIU J W,ZHANG D H,WANG J Sh.Deflection compensation model for flatness measuring roll[J].Journal of Iron&Steel Research International,2010,17(12):35-37.
[3]GONZALEZ RC,WOODS RE.Digital image processing(3rd Edition)[M].Prentice-Hall,Inc.,2007,45(2):445-465.
[4]CANNY J.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,1986(6):679-698.
[5]BAO P,ZHANG L,WU X.Canny edge detection enhancement by scale multiplication[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,2005,27(9):1485-1490.
[6]Health M,Sarkar S,Sanocki T.Comparison of edge detectors:a methodology and initial study[J].Computer Vision and Image Understanding,1998,69(1):38-54.