Normalised Color Distances

André R. S. Marçal, André R. S. Marçal

2023

Abstract

This paper presents normalised color distances based on widely used metrics in the RGB and L*a*b* color models, and an adjusted City Block distance for the HSV model. Three experiments were carried out, focusing on color perception, the identification of the actual range of the various normalised color distances, and their ability of compare and match images which have a predominant color perceived by a human observer. For this task, a spatially tolerant color distance is proposed. The image comparison experiment uses subsets of 6 images, out of 15 square tile images, with a total of 270 test cases considered. A modified Dunn index is proposed for the evaluation. L*a*b* based distances were found to be better adjusted to the human color perception. Color distances based on L*a*b* model were also more effective for image comparison, with spatially tolerant color distances having slightly better performance than using a direct image pixel pairing.

Paper Citation

in Harvard Style

R. S. Marçal A. (2023). Normalised Color Distances. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE, ISBN 978-989-758-642-2, SciTePress, pages 134-141. DOI: 10.5220/0011965700003497

in Bibtex Style

@conference{improve23,
author={André R. S. Marçal},
title={Normalised Color Distances},
booktitle={Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,},
year={2023},
pages={134-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011965700003497},
isbn={978-989-758-642-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - Normalised Color Distances
SN - 978-989-758-642-2
AU - R. S. Marçal A.
PY - 2023
SP - 134
EP - 141
DO - 10.5220/0011965700003497
PB - SciTePress