IDEAS home Printed from https://ideas.repec.org/a/igg/japuc0/v5y2013i3p38-46.html
   My bibliography  Save this article

Research on Parts Measurement Method Based on Machine Vision

Author

Listed:
  • Jun Zhang

    (School of Electrical Engineering and Automation, Tianjin University, Tianjin, China)

  • Shuhua Wang

    (School of Electrical Engineering and Automation, Tianjin University, Tianjin, China)

  • Zhengling Yang

    (School of Electrical Engineering and Automation, Tianjin University, Tianjin, China)

Abstract

This paper has described the measurement method of the phone slot on the assembly line. The method is based on computer vision. After reducing the effect of noise through fast median method, the authors locate the target area. Thus the authors extract the target area. The authors have proposed an edge detection algorithm based on the improved canny operator. The authors also have put forward the linear fitting method based on RHT-LSM and then the authors delete the straight line whose slope is greater than the given threshold. Therefore the authors can find the corresponding angular point coordinates. Then the authors have compared the semi-circular data of the slots ends and find the points whose tangent line’s slop are biggest. These points are absolutely tin the leftmost and in the rightmost. Thus the authors have got the length and the width of the image in the coordinate system. Then the authors can get the camera’s internal parameters and external parameters after the camera calibration. The practice shows that the system is feasible and it has high use value.

Suggested Citation

  • Jun Zhang & Shuhua Wang & Zhengling Yang, 2013. "Research on Parts Measurement Method Based on Machine Vision," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 5(3), pages 38-46, July.
  • Handle: RePEc:igg:japuc0:v:5:y:2013:i:3:p:38-46
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijapuc.2013070104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:japuc0:v:5:y:2013:i:3:p:38-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.