文献类型：期刊文献

英文题名：Research on real-time measuring method of dynamic deformation based on machine vision and its application

作者：Lin, Li-Zong[1]; Ni, Xiao-Peng[1]; Zhou, Luo-Shan[1]; Qian, Zhi-Qin[1]

机构：[1] School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China

年份：2012

卷号：130-134

起止页码：3572

外文期刊名：Applied Mechanics and Materials

收录：EI(收录号：20114714535018)

语种：英文

外文关键词：Computer vision - Hough transforms - Machinery - Feature extraction - Manufacture

摘要：Dynamic deformation measurement of machine parts in fatigue strength test is studied by using machine vision technique. Considering the uncertainty of parts surface, we adopt circular mark to locate the object profile in order to obtain high quality images. Through some image pre-processing with linear filtering, continuous contour searching method and circular detection based on random Hough transform (RHT), the real-time deformation can be measured with image characteristic parameters. In the practical application, the deformation of the loaded bicycle handle-bar is calculated. The test results show that the machine vision measurement is very effective; measurement resolution attains 0.1mm/pixel; the discrete degree of measurement data is low and the system meets the requirement of real-time measurement. The study proves that the measurement method of dynamic deformation based on machine vision is feasible, which can give some help for fatigue strength test of machine part and other structure deformation. ? (2012) Trans Tech Publications, Switzerland.