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Authors: Joao Batista Florindo 1 ; Odemir Martinez Bruno 2 and Gabriel Landini 1

Affiliations: 1 University of Birmingham, United Kingdom ; 2 University of Sao Paulo, United Kingdom

ISBN: 978-989-758-089-5

Keyword(s): Multifractal, Texture Classification, Bouligand-Minkowski, Fractal Geometry.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: We present an approach to extract descriptors for the analysis of grey-level textures in images. Similarly to the classical multifractal analysis, the method subdivides the texture into regions according to a local Hölder exponent and computes the fractal dimension of each subset. However, instead of estimating such exponents (by means of the mass-radius relation, wavelet leaders, etc.) we propose using a local version of Bouligand-Minkowski dimension. At each pixel in the image, this approach provides a scaling relation which fits better to what is expected from a multifractal model than the direct use of the density function. The performance of the classification power of the descriptors obtained with this method was tested on the Brodatz image database and compared to other previously published methods used for texture classification. Our method outperforms other approaches confirming its potential for texture analysis.

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Paper citation in several formats:
Florindo, J.; Bruno, O. and Landini, G. (2015). Multifractal Texture Analysis using a Dilation-based Hölder Exponent.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 505-511. DOI: 10.5220/0005302305050511

@conference{visapp15,
author={Joao Batista Florindo. and Odemir Martinez Bruno. and Gabriel Landini.},
title={Multifractal Texture Analysis using a Dilation-based Hölder Exponent},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={505-511},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005302305050511},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Multifractal Texture Analysis using a Dilation-based Hölder Exponent
SN - 978-989-758-089-5
AU - Florindo, J.
AU - Bruno, O.
AU - Landini, G.
PY - 2015
SP - 505
EP - 511
DO - 10.5220/0005302305050511

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