DocumentCode
605235
Title
Local Multifractal Analysis by 2D-WTMM Method to Detect Brain Tumor
Author
Khider, M. ; Haddad, Bassam
Author_Institution
LTIR, Univ. des Sci. et de la Technol. Houari Boumediene (USTHB), Algiers, Algeria
fYear
2013
fDate
10-12 April 2013
Firstpage
461
Lastpage
464
Abstract
In the present work, we have implemented a novel technique to detect brain tumors; the basic idea is to study the behavior of the Legendre spectrum locally, to do this, we use a sliding window scanning with reduced size, the multifractal spectrum is evaluated locally inside each window, with the use of the 2D-WTMM method and the multifractal formalism of Frisch and Parisi.
Keywords
biology computing; brain; fractals; tumours; 2D WTMM method; Legendre spectrum; brain tumor detection; multifractal analysis; multifractal formalism; multifractal spectrum; sliding window scanning; Continuous wavelet transforms; Fractals; Skeleton; Tumors; Wavelet analysis; 2D-WTMM; Brain Tumors; MRI; Multifractal Analysis; Wavelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4673-6421-8
Type
conf
DOI
10.1109/UKSim.2013.88
Filename
6527461
Link To Document