loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: André R. S. Marçal 1 ; 2

Affiliations: 1 Departamento de Matemática, Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre s/n, 4169-007, Porto, Portugal ; 2 INESC TEC, Porto, Portugal

Keyword(s): Color Distance, Color Perception, Color Normalisation, Dunn Index.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.222.116.146

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
R. S. Marçal, A. (2023). Normalised Color Distances. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-642-2; ISSN 2795-4943, SciTePress, pages 134-141. DOI: 10.5220/0011965700003497

@conference{improve23,
author={André {R. S. Mar\c{C}al}.},
title={Normalised Color Distances},
booktitle={Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2023},
pages={134-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011965700003497},
isbn={978-989-758-642-2},
issn={2795-4943},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE
TI - Normalised Color Distances
SN - 978-989-758-642-2
IS - 2795-4943
AU - R. S. Marçal, A.
PY - 2023
SP - 134
EP - 141
DO - 10.5220/0011965700003497
PB - SciTePress