A Detection System of Tool Parameter Using Machine Vision

被引:0
作者
Wang, Hantao [1 ,2 ]
Wang, Hong [1 ,2 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] China Univ Geosci, Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Peoples R China
来源
2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年
关键词
Machine vision; image processing; tool parameter; WEAR MEASURING TECHNIQUE; CCD;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper suggests a novel technique for the tool parameter measurement based on machine vision. Tool images are captured by using a machine vision system and the outer contour image of the cutter is obtained by using the machine vision technology. The HALCON image processing library is used as the development platform to build the tool parameters test system. Several algorithms including image segmentation, edge extraction and fitting ellipse determination is used for image processing. The tool parameters such as external diameter and contour angle of tool edge can be obtained after rebuilding the contour of tool edge The proposed scheme is shown to be reliable and effective for the automated tool parameter measurement.
引用
收藏
页码:8293 / 8296
页数:4
相关论文
共 15 条
  • [1] On-line tool wear monitoring using geometric descriptors from digital images
    Castejon, M.
    Alegre, E.
    Barreiro, J.
    Hernandez, L. K.
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2007, 47 (12-13) : 1847 - 1853
  • [2] Cutting tool crater wear measurement with white light interferometry
    Devillez, A
    Lesko, S
    Mozer, W
    [J]. WEAR, 2004, 256 (1-2) : 56 - 65
  • [3] Guan B., 2015, RES IMAGE MEASUREMEN
  • [4] Haralick R. M., 1988, COMPUTER VISION GRAP, V44, P230
  • [5] Hu Y., 2017, ELECT TECHNOLOGY SOF, P74
  • [6] New approach in tool wear measuring technique using CCD vision system
    Jurkovic, J
    Korosec, M
    Kopac, J
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2005, 45 (09) : 1023 - 1030
  • [7] Tool wear measuring technique on the machine using CCD and exclusive jig
    Kim, JH
    Moon, DK
    Lee, DW
    Kim, JS
    Kang, MC
    Kim, KH
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2002, 130 : 668 - 674
  • [8] A review of machine vision sensors for tool condition monitoring
    Kurada, S
    Bradley, C
    [J]. COMPUTERS IN INDUSTRY, 1997, 34 (01) : 55 - 72
  • [9] A new flexible high-resolution vision sensor for tool condition monitoring
    Lanzetta, M
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2001, 119 (1-3) : 73 - 82
  • [10] Reliable tool wear monitoring by optimized image and illumination control in machine vision
    Pfeifer, T
    Wiegers, L
    [J]. MEASUREMENT, 2000, 28 (03) : 209 - 218