| 基于线扫视觉的活塞杆表面瑕疵检测系统设计 |
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| 引用本文： | 孙晓帮,苏春阳,王敬朋,王天利,李欢,邱亚男. 基于线扫视觉的活塞杆表面瑕疵检测系统设计[J]. 机床与液压, 2020, 48(17): 75-78. DOI: 10.3969/j.issn.1001-3881.2020.17.015 |
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| 作者姓名： | 孙晓帮 苏春阳 王敬朋 王天利 李欢 邱亚男 |
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| 作者单位： | 辽宁工业大学汽车与交通工程学院,辽宁锦州121001;成都工业学院计算机工程学院,四川成都611701;锦州万友机械部件有限公司,辽宁锦州121000 |
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| 基金项目： | 国家自然科学基金青年基金项目（51605213） |
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| 摘 要： | 为提高活塞杆表面瑕疵检测效率,设计基于机器视觉的全自动活塞杆表面瑕疵检测系统。利用LabVIEW软件的Vision模块进行图像采集、处理与识别,利用TIA portal软件进行运动控制;利用二值化算法过滤掉较小瑕疵;对图像进行腐蚀运算,再进行膨胀运算,以去除孤立小点、毛刺和小桥。实验结果表明:该系统运行稳定、可靠且效率高。
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| 关 键 词： | 瑕疵检测 机器视觉 全自动 |
Design of Piston Rod Surface Flaw Detection System Based on Line Scan Vision |
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| SUN Xiaobang,SU Chunyang,WANG Jingpeng,WANG Tianli,LI Huan,QIU Yanan. Design of Piston Rod Surface Flaw Detection System Based on Line Scan Vision[J]. Machine Tool & Hydraulics, 2020, 48(17): 75-78. DOI: 10.3969/j.issn.1001-3881.2020.17.015 |
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| Authors: | SUN Xiaobang SU Chunyang WANG Jingpeng WANG Tianli LI Huan QIU Yanan |
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| Abstract: | In order to improve the efficiency of piston rod surface flaw detection, a full automatic piston rod surface flaw detection system based on machine vision was designed. The Vision module of LabVIEW software was used for image acquisition, processing and recognition, and the TIA portal software was used for motion control. The binarization algorithm was used to filter out minor defects. The image was corroded and then expanded to remove isolated spots, burrs and bridges. The experimental results show that the system is stable, reliable and efficient |
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