Customised ResNet architecture for subtle color classification
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
International journal of computers and applications
ISSN (print)
1206-212X
ISSN (electronic)
1925-7074
ISSN (linking)
1206-212X
Publisher
Taylor & Francis
Publication forum ID
58703
Publication forum level
1
Publication appears in FT-list
No
SNIP-level of the publication
0.72
Country of publication
United Kingdom
Internationality
Yes
Detailed publication information
Publication year
2025
Reporting year
2025
Journal/series volume number
47
Journal/series issue number
4
Page numbers
341-355
DOI
10.1080/1206212X.2025.2465727
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Machine vision; color difference; printed colors; convolutional neural networks (CNN); ResNet; max pooling
Funding information
Funding information in the publication
This work was supported by the Finnish Cultural Foundation’s Central Ostrobothnia Regional Fund (Suomen Kulttuurirahasto) [grant number 25211242].
Research data information
Research data information in the publication
One of the datasets used in this manuscript is available as Zenodo repository: https://doi.org/10.5281/zenodo.11079897
Source database ID
Scopus ID
2-s2.0-105001380074