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