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《Journal of Test and Measurement Technology》 2019-03
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The Research on Online Recogition and Classification Technology of Wheel Hub Based on Machine Vision

GUO Zhijie;WANG Mingquan;ZHANG Junsheng;JIAO Tengyun;School of Information and Communication Engineering,North University of China;  
In order to identify and classify the hub on the production line,an on-line wheel hub type recognition system based on OpenCV and MFC platform is developed.The parameters of whell hub height,diameter,diameter of central hole,number of spokes and the spoke window's ratio of perimeter to area are extracted as the characteristic parameters of whell hub recognition.The hub diameter is obtained by image preprocessing,edge detection,circle fitting,system calibration and other methods to represent the size of the hub.The hub shape is characterized by the number of spokes,the diameter of the central hole,the circumference area ratio of the spoke window and other constant with rotation invariance.Finally,the serial number of the extracted hub characteristic parameters is generated and compared with the standard values in the hub template library to achieve the online real-time classification effect.The experimental results show that the recognition accuracy of the system is 98.7%,which can effectively complete the online identification and classification of the hub and provides guarantee for the automation and intelligentization of the wheel defect detection.
【Fund】: 国家重大科学仪器设备开发专项基金资助项目(2013YQ240803);; 山西省重点研发计划资助项目(201803D121069)
【CateGory Index】: U463.343;TP391.41
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