钢板表面缺陷在线视觉检测系统
|
摘要
基于视觉测量技术,开发一套钢板生产线表面缺陷在线检测系统。利用线阵CMOS相机和红色LED线光源形成传感器系统,结合自主开发的应用软件,实现钢板表面缺陷的自动检测。提出一种调节相机曝光时间的方法,根据拍摄到的图像的灰度值实时调节线阵CMOS相机的曝光时间。研究适用的图像处理算法,获得缺陷的外轮廓数据。实验结果表明:该系统具有较高的检测速度与准确度,从而提高钢板质量。
Based on vision measurement technology, an online system for steel strip surface defects detection was developed. The sensor system consisted of CMOS line scan cameras and red LED line light source. The system could be used to achieve automatic detection of steel strip surface defects. The method to adjust the exposure time of line scan camera was presented by which the exposure time of the line scan camera could be adjusted according to the gray values of the captured images. The image processing algorithm was studied to complete the contour extraction of defects. Experimental results show that the system can be used to realize online detection for steel strip surface defects promptly and accurately. In this way, the steel strip quality can be improved.
Based on vision measurement technology, an online system for steel strip surface defects detection was developed. The sensor system consisted of CMOS line scan cameras and red LED line light source. The system could be used to achieve automatic detection of steel strip surface defects. The method to adjust the exposure time of line scan camera was presented by which the exposure time of the line scan camera could be adjusted according to the gray values of the captured images. The image processing algorithm was studied to complete the contour extraction of defects. Experimental results show that the system can be used to realize online detection for steel strip surface defects promptly and accurately. In this way, the steel strip quality can be improved.
引文
[1] ZHANG Z,ZHANG S,LI Q.Surface Defects Inspection Method for the Medium and Heavy Plate[J].Recent Patents on Mechanical Engineering,2016,9(3):255-258.
[2] 张志强,宋海生.应用Otsu改进Canny算子的图像边缘检测方法[J].计算机与数字工程,2014,42(1):122-128.ZHANG Z Q,SONG H S.Application of Otsu to Improve Image Edge Detection Method in Canny Algorithm[J].Computer & Digital Engineering,2014,42(1):122-128.
[3] LI D I,LIANG L Q,ZHANG W J.Defect Inspection and Extraction of the Mobile Phone Cover Glass Based on the Principal Components Analysis[J].The International Journal of Advanced Manufacturing Technology,2014,73(9/10/11/12):1605-1614.
[4] 马丽萍,崔明,朱培逸.基于机器视觉的汽车安全带的表面缺陷检测系统[J].机床与液压,2018,46(2):134-138.MA L P,CUI M,ZHU P Y.Surface Defect Detection System for Seat Belt Based on Machine Vision[J].Machine Tool & Hydraulics,2018,46(2):134-138.
[5] 刘坤,陈宁纪,张晓怿,等.基于机器视觉的带钢表面缺陷检测系统设计[J].制造业自动化,2015(12):134-137.LIU K,CHEN N J,ZHANG X Y,et al.Defect Detection System Design for Steel Surface Based on Machine Vision[J].Manufacturing Automation,2015(12):134-137.
[6] 徐森,屈尔庆,陈海永,等.冷轧带钢表面缺陷检测系统设计[J].仪表技术与传感器,2017(1):65-69.XU S,QU E Q,CHEN H Y,et al.Design of Surface Defect Inspection System for Cold Rolled Strip[J].Instrument Technique and Sensor,2017(1):65-69.
[7] 段晓杰,段发阶,吕昌荣,等.基于数字条纹投影的钢板表面三维缺陷检测[J].钢铁研究学报,2013,25(6):58-62.DUAN X J,DUAN F J,LV C R,et al.3D Defects Detection of Plate Surface Based on Digital Fringes Projection[J].Journal of Iron and Steel Research,2013,25(6):58-62.
[8] 李雪琴,蒋红海,刘培勇,等.非下采样Contourlet域自适应阈值面的磁瓦表面缺陷检测[J].计算机辅助设计与图形学学报,2014,26(4):553-558.LI X Q,JIANG H H,LIU P Y,et al.Defect Detection on Magnetic Tile Surface Based on Adaptive Threshold Surfaces in NSCT Domain[J].Journal of Computer-Aided Design & Computer Graphics,2014,26(4):553-558.
[9] 雒涛,郑喜凤,丁铁夫.改进的自适应阈值Canny边缘检测[J].光电工程,2009,36(11):106-111.LUO T,ZHENG X F,DING T F.Improved Self-adaptive Threshold Canny Edge Detection[J].Opto-Electronic Engineering,2009,36(11):106-111.
[2] 张志强,宋海生.应用Otsu改进Canny算子的图像边缘检测方法[J].计算机与数字工程,2014,42(1):122-128.ZHANG Z Q,SONG H S.Application of Otsu to Improve Image Edge Detection Method in Canny Algorithm[J].Computer & Digital Engineering,2014,42(1):122-128.
[3] LI D I,LIANG L Q,ZHANG W J.Defect Inspection and Extraction of the Mobile Phone Cover Glass Based on the Principal Components Analysis[J].The International Journal of Advanced Manufacturing Technology,2014,73(9/10/11/12):1605-1614.
[4] 马丽萍,崔明,朱培逸.基于机器视觉的汽车安全带的表面缺陷检测系统[J].机床与液压,2018,46(2):134-138.MA L P,CUI M,ZHU P Y.Surface Defect Detection System for Seat Belt Based on Machine Vision[J].Machine Tool & Hydraulics,2018,46(2):134-138.
[5] 刘坤,陈宁纪,张晓怿,等.基于机器视觉的带钢表面缺陷检测系统设计[J].制造业自动化,2015(12):134-137.LIU K,CHEN N J,ZHANG X Y,et al.Defect Detection System Design for Steel Surface Based on Machine Vision[J].Manufacturing Automation,2015(12):134-137.
[6] 徐森,屈尔庆,陈海永,等.冷轧带钢表面缺陷检测系统设计[J].仪表技术与传感器,2017(1):65-69.XU S,QU E Q,CHEN H Y,et al.Design of Surface Defect Inspection System for Cold Rolled Strip[J].Instrument Technique and Sensor,2017(1):65-69.
[7] 段晓杰,段发阶,吕昌荣,等.基于数字条纹投影的钢板表面三维缺陷检测[J].钢铁研究学报,2013,25(6):58-62.DUAN X J,DUAN F J,LV C R,et al.3D Defects Detection of Plate Surface Based on Digital Fringes Projection[J].Journal of Iron and Steel Research,2013,25(6):58-62.
[8] 李雪琴,蒋红海,刘培勇,等.非下采样Contourlet域自适应阈值面的磁瓦表面缺陷检测[J].计算机辅助设计与图形学学报,2014,26(4):553-558.LI X Q,JIANG H H,LIU P Y,et al.Defect Detection on Magnetic Tile Surface Based on Adaptive Threshold Surfaces in NSCT Domain[J].Journal of Computer-Aided Design & Computer Graphics,2014,26(4):553-558.
[9] 雒涛,郑喜凤,丁铁夫.改进的自适应阈值Canny边缘检测[J].光电工程,2009,36(11):106-111.LUO T,ZHENG X F,DING T F.Improved Self-adaptive Threshold Canny Edge Detection[J].Opto-Electronic Engineering,2009,36(11):106-111.