Attribute Operators for Color Images: Color Harmonization based on Maximal Harmonic Segmentation

Sérgio Sousa Filho, Franklin César Flores

2019

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.

Paper Citation

in Harvard Style

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 (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 366-372. DOI: 10.5220/0007376203660372

in Bibtex Style

@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 (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={366-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007376203660372},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: 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
PB - SciTePress