Multi-Counterpropagation Network Model For Colour Recognition
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Abstract
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*Ho, 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.
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Yaakob, R., Sulaiman, M. N., Mahmod, R., Mohamed, M. T. M., & Ramli, A. R. (1999). Multi-Counterpropagation Network Model For Colour Recognition. Malaysian Journal of Computer Science, 12(1), 38–46. Retrieved from http://jice.um.edu.my/index.php/MJCS/article/view/5746
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