• DocumentCode
    2284695
  • Title

    Size Detection of Firebricks Based on Machine Vision Technology

  • Author

    He Junji ; Shi Li ; Xiao Jianli ; Cheng Jun ; Zhu Ying

  • Author_Institution
    Shanghai Maritime Univ., Shanghai, China
  • Volume
    3
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    394
  • Lastpage
    397
  • Abstract
    At the present time, quality of firebricks is detected manually one by one under a tough working environment. It is urgent to invent an automatic device to do this job. In response to this situation, this paper proposed a fast firebrick´s size detecting method and device which was based on monocular machine vision technology. The method is based on the homographic principle between imaging plane and object plane during monocular imaging process. Processing the firebricks´ surface image from a high resolution camera by image processing technique such as edge extracting, linking, segmenting, fitting, etc, it is able to calculate the length and width of a firebrick precisely. The test results proved that it has obtained the precision of manual method at present time and is very robust. The structure of the detecting system is simple, efficient and practical.
  • Keywords
    brick; brick industry; computer vision; edge detection; image segmentation; size measurement; surface texture; edge extraction; firebrick quality; high resolution camera; homographic principle; image segmentation; imaging plane; monocular imaging process; monocular machine vision; object plane; size measurement; Cameras; High-resolution imaging; Image edge detection; Image processing; Image resolution; Image segmentation; Joining processes; Machine vision; Surface fitting; Testing; Firebricks; Image Processing; Monocular Machine Vision; Size Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.798
  • Filename
    5458989