Title :
Multifractal analysis for texture characterization: A new approach based on DWT
Author :
Ouahabi, Abdeldjalil
Author_Institution :
Ecole Polytech., Signal & Image Group, Univ. de Tours, Tours, France
Abstract :
Texture characterization, which measures the fluctuations of image amplitude regularity in space, now often uses fractal and multifractal analysis. The present contribution deals with a multifractal approach in ultrasound skin images to characterize melanoma. In this paper, we propose to build new hierarchical multiresolutions quantities: Maximum coefficients of the Discrete Wavelet Transform for 2D Multifractal analysis. The performance of the proposed texture descriptors was evaluated for 2D synthetic processes and biomedical texture classification.
Keywords :
biomedical ultrasonics; discrete wavelet transforms; fractals; image classification; image resolution; image texture; medical image processing; skin; 2D multifractal analysis; 2D synthetic processes; biomedical texture classification; discrete wavelet transform; hierarchical multiresolutions quantities; image amplitude regularity fluctuation; melanoma characterization; texture characterization; texture descriptors; ultrasound skin images; Biomedical imaging; Discrete wavelet transforms; Fractals; Lead;
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
DOI :
10.1109/ISSPA.2010.5605576