A comparative evaluation of similarity measurement algorithms within a colour palette.

Abstract

Recently, there has been interest in the development of colour palettes from images. Colour palettes have long been used by designers to communicate colours and their relationships but increasingly palettes are being derived automatically from digital images, concepts, or from a plethora of digital design tools online. Methods to predict differences between palettes are growing in popularity. This study is concerned with the prediction of visual self‐similarity for colour palettes with large numbers of patches. A psychophysical experiment was carried out to collect the human judgments of similarity and then six different algorithms were introduced and evaluated in terms of their ability to predict the psychophysical data. Two methods to quantify the agreement between the visual data and algorithm predictions were used based on regression analysis with coefficient of determination for the goodness of fit and multidimensional scaling with loss function Kruskal's stress. Of the six algorithms, the Pearson correlation coefficient method was considered to give the best performance.

Metadata

Item Type:	Article
Authors/Creators:	Ren, S Chen, Y Westland, S https://orcid.org/0000-0003-3480-4755 Yu, L https://orcid.org/0000-0002-1664-2230
Copyright, Publisher and Additional Information:	© 2020 Wiley Periodicals LLC. This is the peer reviewed version of the following article: Ren, S, Chen, Y, Westland, S et al. (1 more author) (2021) A comparative evaluation of similarity measurement algorithms within a colour palette. Color Research & Application, 46 (2). pp. 332-340. ISSN 0361-2317, which has been published in final form at https://doi.org/10.1002/col.22591. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. Uploaded in accordance with the publisher's self-archiving policy.
Keywords:	color design; color palette; psychophysics
Dates:	Published: April 2021 Published (online): 20 November 2020 Accepted: 3 November 2020
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	04 Jan 2021 15:39
Last Modified:	19 Jul 2022 09:24
Status:	Published
Publisher:	Wiley
Identification Number:	10.1002/col.22591
Related URLs:	Author
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:169288

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A comparative evaluation of similarity measurement algorithms within a colour palette.

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