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

fYear

2010

fDate

10-13 May 2010

Firstpage

698

Lastpage

703

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISSPA.2010.5605576

Filename

5605576