• DocumentCode
    3336280
  • Title

    A segmentation method for multi-connected particle delineation

  • Author

    Wu, Xingqiang ; Kemeny, John M.

  • Author_Institution
    Dept. of Min. & Geol. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    1992
  • fDate
    30 Nov-2 Dec 1992
  • Firstpage
    240
  • Lastpage
    247
  • Abstract
    An automatic particle segmentation system is developed for calculating the size distribution of rock fragments created by blasting. A rock composite due to blasting is often fully multi-connected in which individual particles cannot be delineated by the existing segmentation algorithms. Two algorithms are proposed to approach this multi-connected segmentation problem. The first algorithm analyzes the shape of each shadow (a simply-connected region) and `splits´ the particles from shadow boundary convexity points if a relatively large gradient path occurs. The second algorithm finds clusters of rock particles which may not be delineated due to the lack of a strong gradient along the touching portions and delineates them using a shape heuristics. A large number of test results show that the method is fast and accurate
  • Keywords
    image segmentation; particle size measurement; rocks; automatic particle segmentation system; blasting; image understanding; large gradient path; multi-connected particle delineation; multi-connected segmentation; photographic image; rock composite; rock fragments; rock particles clusters; segmentation algorithms; segmentation method; shadow boundary convexity points; shape heuristics; simply-connected region; size distribution; Algorithm design and analysis; Clustering algorithms; Costs; Geology; Image edge detection; Leaching; Minerals; Mining industry; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision, Proceedings, 1992., IEEE Workshop on
  • Conference_Location
    Palm Springs, CA
  • Print_ISBN
    0-8186-2840-5
  • Type

    conf

  • DOI
    10.1109/ACV.1992.240305
  • Filename
    240305