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Colour cluster analysis for pigment identification

Colour cluster analysis for pigment identification
Colour cluster analysis for pigment identification
This paper presents image processing algorithms designed to analyse the colour CIE Lab histogram of high resolution images of paintings. Three algorithms are illustrated which attempt to identify colour clusters, cluster shapes due to shading and finally to identify pigments. Using the image collection and pigment list of the National Gallery London large numbers of images within a restricted period have been classified with a variety of algorithms. The image descriptors produced were also used with suitable comparison metrics to obtain content-based retrieval of the images.
Colour analysis, image processing, art analysis
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
Goodall, Simon
e436aca8-e9d8-4970-a2c1-d4c8129e976d
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
Goodall, Simon
e436aca8-e9d8-4970-a2c1-d4c8129e976d

Martinez, Kirk and Goodall, Simon (2008) Colour cluster analysis for pigment identification At Electronic Imaging: Computer Image Analysis in the Study of Art, United States.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents image processing algorithms designed to analyse the colour CIE Lab histogram of high resolution images of paintings. Three algorithms are illustrated which attempt to identify colour clusters, cluster shapes due to shading and finally to identify pigments. Using the image collection and pigment list of the National Gallery London large numbers of images within a restricted period have been classified with a variety of algorithms. The image descriptors produced were also used with suitable comparison metrics to obtain content-based retrieval of the images.

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More information

Published date: January 2008
Venue - Dates: Electronic Imaging: Computer Image Analysis in the Study of Art, United States, 2008-01-01
Keywords: Colour analysis, image processing, art analysis
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 265146
URI: http://eprints.soton.ac.uk/id/eprint/265146
PURE UUID: 1b6500df-dd60-4395-ab85-51e2c57d8753
ORCID for Kirk Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 05 Feb 2008 14:52
Last modified: 18 Jul 2017 07:29

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Contributors

Author: Kirk Martinez ORCID iD
Author: Simon Goodall

University divisions

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