Automatic Perceptual Color Quantization of Dermoscopic Images

Vittoria Bruni; Giuliana Ramella; Domenico Vitulano

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Paper

Automatic Perceptual Color Quantization of Dermoscopic Images

Topics: Color and Texture Analyses; Medical Image Applications

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 323-330, 2015 , Berlin, Germany

Authors: Vittoria Bruni ¹ ; Giuliana Ramella ² and Domenico Vitulano ²

Affiliations: ¹ University of Rome La Sapienza, Italy ; ² Institute for the Applications of Calculus and CNR, Italy

Keyword(s): Color Quantization, Perception Laws, Visual Quality, Dermoscopy.

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

Abstract: The paper presents a novel method for color quantization (CQ) of dermoscopic images. The proposed method consists of an iterative procedure that selects image regions in a hierarchical way, according to the visual importance of their colors. Each region provides a color for the palette which is used for quantization. The method is automatic, image dependent and computationally not demanding. Preliminary results show that the mean square error of quantized dermoscopic images is competitive with existing CQ approaches.

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Paper citation in several formats:

Bruni, V.; Ramella, G. and Vitulano, D. (2015). Automatic Perceptual Color Quantization of Dermoscopic Images. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 323-330. DOI: 10.5220/0005304903230330

@conference{visapp15,
author={Vittoria Bruni. and Giuliana Ramella. and Domenico Vitulano.},
title={Automatic Perceptual Color Quantization of Dermoscopic Images},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={323-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005304903230330},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Automatic Perceptual Color Quantization of Dermoscopic Images
SN - 978-989-758-089-5
IS - 2184-4321
AU - Bruni, V.
AU - Ramella, G.
AU - Vitulano, D.
PY - 2015
SP - 323
EP - 330
DO - 10.5220/0005304903230330
PB - SciTePress