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Authors: Julien Chauveau ; David Rousseau ; Paul Richard and François Chapeau-Blondeau

Affiliation: Université d’Angers, France

ISBN: 978-989-674-029-0

Keyword(s): Color image, Color histogram, Fractal, Self-similarity, Capacity dimension, Correlation dimension, Pair correlation integral, Feature extraction and analysis, Image modeling, Virtual reality, Vision.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Fractal and Chaos Theory in Image Analysis ; Image and Video Analysis

Abstract: The colorimetric organization of RGB color images is analyzed through the computation of algorithms which can characterize fractal organizations in the support and population of their three-dimensional color histogram. These algorithms have shown that complex organizations across scales exist in the colorimetric domain for natural images with often non-integer fractal dimension over a certain range of scale. In this paper, we apply this method of colorimetric characterization to synthetic images produced by rendering techniques of increasing sophistication. We show that the fractal or scale invariant signatures are more pronounced when the realism of the synthetic images increases. Such results could have interesting applications to improve the colorimetric realism of synthetic images. This also may contribute to progress in classification and vision, in using fractal colorimetric properties to differentiate natural and synthetic images.

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Paper citation in several formats:
Chauveau J.; Rousseau D.; Richard P.; Chapeau-Blondeau F. and (2010). FRACTAL ANALYSIS TOOLS FOR CHARACTERIZING THE COLORIMETRIC ORGANIZATION OF DIGITAL IMAGES - Case Study using Natural and Synthetic Images.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 245-248. DOI: 10.5220/0002818202450248

@conference{visapp10,
author={Julien Chauveau and David Rousseau and Paul Richard and Fran\c{C}ois Chapeau{-}Blondeau},
title={FRACTAL ANALYSIS TOOLS FOR CHARACTERIZING THE COLORIMETRIC ORGANIZATION OF DIGITAL IMAGES - Case Study using Natural and Synthetic Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={245-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002818202450248},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - FRACTAL ANALYSIS TOOLS FOR CHARACTERIZING THE COLORIMETRIC ORGANIZATION OF DIGITAL IMAGES - Case Study using Natural and Synthetic Images
SN - 978-989-674-029-0
AU - Chauveau, J.
AU - Rousseau, D.
AU - Richard, P.
AU - Chapeau-Blondeau, F.
PY - 2010
SP - 245
EP - 248
DO - 10.5220/0002818202450248

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