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
Link To Document :
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