Multi-counterpropagation network model for colour recognition
Minolta Chroma Meters was used to convert colours into numbers. It offers five different colour systems for measuring absolute chromaticity, that is, CIE Yxy, L*a*b*, L*C*H°, Hunter Lab and XYZ. In this study, only L*a*b* is used, and combinations of two counterpropagation network (CPN) are required...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Faculty of Computer Science and Information Technology, University of Malaya
1999
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| Online Access: | http://psasir.upm.edu.my/id/eprint/49453/1/Multi-counterpropagation%20network%20model%20for%20colour%20recognition.pdf |
| _version_ | 1825930136345640960 |
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| author | Yaakob, Razali Sulaiman, Md. Nasir Mahmod, Ramlan Tengku Muda Mohamed, Mahmud Ramli, Abd Rahman |
| author_facet | Yaakob, Razali Sulaiman, Md. Nasir Mahmod, Ramlan Tengku Muda Mohamed, Mahmud Ramli, Abd Rahman |
| author_sort | Yaakob, Razali |
| collection | UPM |
| description | Minolta Chroma Meters was used to convert colours into numbers. It offers five different colour systems for measuring absolute chromaticity, that is, CIE Yxy, L*a*b*, L*C*H°, Hunter Lab and XYZ. In this study, only L*a*b* is used, and combinations of two counterpropagation network (CPN) are required to recognise 808 colours produced by The Royal Horticultural Society, based on RHS Colour Chart [1]. Our proposed neural network model is tested; the result shows that 99% of trained data are recognised, against 98% for untrained data. |
| first_indexed | 2024-03-06T09:07:02Z |
| format | Article |
| id | upm.eprints-49453 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:07:02Z |
| publishDate | 1999 |
| publisher | Faculty of Computer Science and Information Technology, University of Malaya |
| record_format | dspace |
| spelling | upm.eprints-494532016-12-30T02:49:18Z http://psasir.upm.edu.my/id/eprint/49453/ Multi-counterpropagation network model for colour recognition Yaakob, Razali Sulaiman, Md. Nasir Mahmod, Ramlan Tengku Muda Mohamed, Mahmud Ramli, Abd Rahman Minolta Chroma Meters was used to convert colours into numbers. It offers five different colour systems for measuring absolute chromaticity, that is, CIE Yxy, L*a*b*, L*C*H°, Hunter Lab and XYZ. In this study, only L*a*b* is used, and combinations of two counterpropagation network (CPN) are required to recognise 808 colours produced by The Royal Horticultural Society, based on RHS Colour Chart [1]. Our proposed neural network model is tested; the result shows that 99% of trained data are recognised, against 98% for untrained data. Faculty of Computer Science and Information Technology, University of Malaya 1999 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/49453/1/Multi-counterpropagation%20network%20model%20for%20colour%20recognition.pdf Yaakob, Razali and Sulaiman, Md. Nasir and Mahmod, Ramlan and Tengku Muda Mohamed, Mahmud and Ramli, Abd Rahman (1999) Multi-counterpropagation network model for colour recognition. Malaysian Journal of Computer Science, 12 (1). pp. 38-46. ISSN 0127-9084 http://e-journal.um.edu.my/publish/MJCS/136-150 |
| spellingShingle | Yaakob, Razali Sulaiman, Md. Nasir Mahmod, Ramlan Tengku Muda Mohamed, Mahmud Ramli, Abd Rahman Multi-counterpropagation network model for colour recognition |
| title | Multi-counterpropagation network model for colour recognition |
| title_full | Multi-counterpropagation network model for colour recognition |
| title_fullStr | Multi-counterpropagation network model for colour recognition |
| title_full_unstemmed | Multi-counterpropagation network model for colour recognition |
| title_short | Multi-counterpropagation network model for colour recognition |
| title_sort | multi counterpropagation network model for colour recognition |
| url | http://psasir.upm.edu.my/id/eprint/49453/1/Multi-counterpropagation%20network%20model%20for%20colour%20recognition.pdf |
| work_keys_str_mv | AT yaakobrazali multicounterpropagationnetworkmodelforcolourrecognition AT sulaimanmdnasir multicounterpropagationnetworkmodelforcolourrecognition AT mahmodramlan multicounterpropagationnetworkmodelforcolourrecognition AT tengkumudamohamedmahmud multicounterpropagationnetworkmodelforcolourrecognition AT ramliabdrahman multicounterpropagationnetworkmodelforcolourrecognition |