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Authors: Sérgio Filho and Franklin Flores

Affiliation: Department of Informatics, State University of Maringá, Maringá, Paraná and Brazil

ISBN: 978-989-758-354-4

Keyword(s): Color Gradient, Attribute Filter, Image Segmentation, Color Harmonization.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Segmentation and Grouping

Abstract: Attribute openings and thinnings are morphological connected operators that remove structures from images according to a given criterion. These operators were successfully extended from binary to grayscale images, but such extension to color images is not straightforward. Color attribute operators have been proposed by a combination of color gradients and thresholding decomposition. In this approach, not only structural criteria may be applied, but also criteria based on color features and statistics. This work proposes, in a segmentation framework, a criterion based on color histogram divergence from a harmonic model. This criterion permits a segmentation in maximal harmonic regions. An application indicated that the harmonic segmentation permitted a hue correction that would not cause false colors to appear in regions already harmonic.

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Paper citation in several formats:
Filho, S. and Flores, F. (2019). Attribute Operators for Color Images: Color Harmonization based on Maximal Harmonic Segmentation.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-354-4, pages 366-372. DOI: 10.5220/0007376203660372

@conference{visapp19,
author={Sérgio Sousa Filho. and Franklin César Flores.},
title={Attribute Operators for Color Images: Color Harmonization based on Maximal Harmonic Segmentation},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2019},
pages={366-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007376203660372},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - Attribute Operators for Color Images: Color Harmonization based on Maximal Harmonic Segmentation
SN - 978-989-758-354-4
AU - Filho, S.
AU - Flores, F.
PY - 2019
SP - 366
EP - 372
DO - 10.5220/0007376203660372

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