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Tristimulus algorithm of colour matching for precoloured fibre blends based on the Stearns–Noechel model
Author(s) -
Rong L I,
Feng G U
Publication year - 2006
Publication title -
coloration technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 49
eISSN - 1478-4408
pISSN - 1472-3581
DOI - 10.1111/j.1478-4408.2006.00003.x
Subject(s) - standard illuminant , mathematics , viscose , color difference , algorithm , matching (statistics) , set (abstract data type) , computer science , artificial intelligence , materials science , statistics , composite material , enhanced data rates for gsm evolution , programming language
Prediction of the formula for matching a given colour standard by blending predyed fibres is of considerable importance to the textile industry. This kind of formulation lacks a computer‐aided tool to assist colourists to find a good recipe to reproduce a target colour. In this study a tristimulus colour‐matching algorithm based on the Stearns–Noechel model is proposed. This algorithm was run to predict recipes for 54 viscose blends. Colour differences between the original blend samples and the blend samples prepared according to the matched recipes were measured and expressed in CIELab 1976 units (D65 illuminant and 10° standard observer). Used in the classical way, in which the parameter M (the empirical constant in the Stearns–Noechel model) equals 0.09, the maximum colour difference is 2.16 CIELab units. The average computed colour difference is 0.69 CIELab units. It is demonstrated that the algorithm can be used in colour matching of fibre blends. A new method to acquire the set of M values is proposed in this study.