Method of Recognizing of Chip Shape Based on Machine Vision Technology

摘要：

According to the problem of chip shape monitoring in machining process, this paper presents a methods of the recognition of shape based on machine vision technology. First make a image processing such as binary processing, opening operation, expansion treatment and edge detection to the image of chip by researching the features of the image of the typical chip which are C-shape chip, long spiral chip, random chip and zonal chip. Then automatically identifying the chip shape by the features that euler number and number of curvature local maximum. The experiment proved this methods feasible and effectively to identifying the chip shape and classification by the features of image of chip.

关键词： machine vision chip shape image processing recognition of chip

作者: K.E. Qing Y.W. Wang L.J. Liu L.J. Liu Z.Q. Yu

作者单位: The Key Lab of Advanced Manufacturing Tech. & Cutting Tools, Harbin Univ. of Sci. and Tech,Harbin, 1 China First Heavy Industries, Fulaerji, 161042, China

会议类型: 国际会议

会议名称: The 4th International Conference on High Speed Machining(第四届高速加工国际会议 ICHSM2010)

会议地点: 武汉

会议语种:英文

页码: 158-161

在线出版日期: 2011-05-28（万方平台首次上网日期，不代表论文的发表时间）