Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62769
Title: Colour characterization for scanners : validations on textiles & paints
Authors: Khandual, A
Baciu, G 
Hu, JL 
Zheng, D
Keywords: Tristimulus values
Color matching function
Color characterization
Polynomial regression
CIE illuminant and observer
Back propagation
Neural network
Issue Date: 2013
Publisher: Advanced Research International Publication House
Source: International journal of advanced research in computer science and software engineering, 2013, v. 3, no. 10, p. 1008-1013 How to cite?
Journal: International journal of advanced research in computer science and software engineering 
Abstract: Previously, we have studied the characterisation of different scanners by look up table, neural networks and polynomial regression models exclusively for various ASTM illuminant and observer along with color coordinates and DPIs. RGBL*a*b* color coordinates shows better results for both polynomial and neural network. . Polynomial regression method found to be more suitable and robust. T heir validation results for textiles and paint substrates based on polynomial regression and neural network were investigated and discussed here.
URI: http://hdl.handle.net/10397/62769
ISSN: 2277-6451 (print)
2277-128X (online)
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