Wang, Z, Cheung, V and Westland, S (2020) Image categorisation based on the spatiochromatic information. Journal of the International Colour Association, 25. pp. 12-23. ISSN 2227-1309
Abstract
An imaging workflow to categorise images into business graphics and pictorial images based on spatiochromatic information is demonstrated. Studies on three computational characteristics (lightness frequency distribution, average chroma distribution, and Fourier spectrum) show that differences between business graphics and pictorial images can be discriminated mathematically. To enhance the performance of the image categorisation workflow, a multilayer perceptron neural network was designed and experimentally evaluated, and which performed with an accuracy of 95% using a database consisting of 57 randomly selected images.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Authors. Under the terms of the Creative Commons Licence. |
Dates: |
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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: | 12 Feb 2020 12:24 |
Last Modified: | 12 Feb 2020 12:24 |
Published Version: | http://http/%20/%20www.aic-colour.org/ |
Status: | Published |
Publisher: | International Colour Association |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156728 |