• DocumentCode
    2136060
  • Title

    Non-destructive characterization: By 3D image processing of Moroccan meteorites

  • Author

    Bakkas, B. ; Douzi, H. ; Ibhi, A. ; Mammass, D. ; Harba, R. ; Jennane, R. ; Rozenbaum, O.

  • Author_Institution
    IRF-SIC, Univ. Ibn Zohr, Agadir, Morocco
  • fYear
    2011
  • fDate
    7-9 April 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Percentages of metal are an important physical property in meteorite research and in studies of meteorite impact craters. Physical properties of meteorites have been used to rapidly classify meteorites into main classes and groups. In this paper, we use a max Entropy method for 3D segmentation and visualization of 3D scanned images of meteorites collected in Morocco. This non-destructive analysis allows studying the mineral composition of these rocks. Results show that the percentage of metal is identical when estimated by 3D analysis compared to classical measurements (point counter). The main advantage of the 3D analysis is that the sample is not destroyed, more accurate, not expensive and faster.
  • Keywords
    data visualisation; geophysics computing; image segmentation; maximum entropy methods; metals; meteorite craters; meteorites; meteorology; minerals; nondestructive testing; rocks; 3D image processing; 3D scanned image; 3D segmentation; Moroccan meteorites; max entropy method; metal; meteorite impact crater; meteorite research; mineral composition; nondestructive analysis; nondestructive characterization; physical property; rock; visualization; Image segmentation; Metals; Minerals; Radiation detectors; Rocks; Three dimensional displays; 3D scanned images; 3D visualization; Segmentation; max Entropy; meteorites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2011 International Conference on
  • Conference_Location
    Ouarzazate
  • ISSN
    Pending
  • Print_ISBN
    978-1-61284-730-6
  • Type

    conf

  • DOI
    10.1109/ICMCS.2011.5945723
  • Filename
    5945723