会议专题

Research and Development of Intelligent and Automatic Detective System on Hole surface quality

According to the deficiency of the traditional detecting method, this paper develops a set of intelligent automatically detecting system for the internal bore surface quality, which combined the image processing technology and pattern recognizing technology. The radius of image is detected using Least-squares fitting circle theory and circular degree is obtained through calculating circular surface fluctuations rate, and then the discriminant function tests to determine whether the work is qualified. The system has been successfully used in the detections for many mechanical parts internal bore surface and approved to have a great practical value.

automatic detect pattern recognition middle value filter circular degree

Yang Musheng Zhang Yu Wang Huilin

School of Mechanical Engineering Shandong University of Technology Zibo, China, 255049

国际会议

2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

长沙

英文

1351-1354

2009-10-10(万方平台首次上网日期,不代表论文的发表时间)