Multi-Counterpropagation Network Model For Colour Recognition

Malaysian Journal of Computer Science

Ramlan Mahmod¹  Abd Rahman Ramli¹  Md. Nasir Sulaiman¹  Razali Yaakob¹  Mahmud Tengku Muda Mohamed¹ 

关键词: CPN model;    competitive layer;    unsupervised learning;    supervised learning;    Minolta Chroma Meters;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

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.

【 授权许可】

Unknown