1. Least metameric recipe formulationBoris Sluban, Olivera Šauperl, 2003, izvirni znanstveni članek Opis: The paper describes a variant of multi-illuminant strategy of colour match prediction calculation for the cases of CMC (l:c) and CIE94 colour differences. This strategy tries to minimize the colour differences (against a given standard) under several different illuminants. In case when a given standard, using the usual single-illuminant matching strategy, can not be matched non-metamerically by the colorants available, the multi-illuminant matching strategy tries to produce a more acceptable match by balancing the colour differences under several different illuminants. The theoretical concepts are illustrated by the colorimetric data of the corresponding laboratory samples produced by either strategy. The multi-illuminant-strategy regularly produced lower metamerism than the single-illuminant strategy did.
Ključne besede: colorimetry, colour matching, recipe formulation, computer aided reciping, metamerism, colour differences
Objavljeno v DKUM: 05.07.2017; Ogledov: 1549; Prenosov: 127
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2. A sensitivity model and repeatability of recipe colourBoris Sluban, Olivera Šauperl, 2001, izvirni znanstveni članek Opis: The paper briefly describes a mathematical model of the colorant mixture colour sensitivity to concentration errors and the numerical estimates of the related quantities. Features of the theoretical model are illustrated with the results of a number of numerical experiments in which the optical data of a few basic dyes applied to textile fabric were used to predict the sensitivities of recipes for sets of target colours spaced regularly in the colour solid. The rest of the article deals with the question whether the predicted values of recipe colour sensitivity provide useful information about the repeatability of recipe colour. The results of a few groups of laboratory experiments involving the textile fabric dyeing with basic dyes have been analysed with this question in mind.
Ključne besede: textile dyeing, basic dyes, recipe colour, colour, color repeatability, colour sensitivity, concentration errors, mathematical model
Objavljeno v DKUM: 05.07.2017; Ogledov: 1258; Prenosov: 118
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3. Different measures of sensitivity of recipe colour to random and proportional dye concentration errorBoris Sluban, Olivera Šauperl, Mihaela Pozderec, 2007, izvirni znanstveni članek Opis: The essential question of the paper "Can the predicted sensitivity to random and/or proportional dye concentration errors assist in selecting the most repeatable recipes?" was investigated using the laboratory dyeing of acrylic fabric with basic dyes. When the dye strength errors were not involved, the biggest scattering of the recipe colour in repeated dyeings was observed in the cases of light neutral target colours, where the predicted sensitivity to random concentration errors was the highest. For a few low-saturated targets, eight recipes with different predicted sensitivities to random errors were treated. In six cases out of the seven treated, those recipes less sensitive to random concentration errors generally performed better than the more sensitive ones, but the correlation was rather weak. For those cases whenthe dye strength errors were included, experiments were also carried out with several different recipes for a neutral medium-lightness target colour.
Ključne besede: colour, textile dyeing, computer aided reciping, recipe colour sensitivity
Objavljeno v DKUM: 01.06.2012; Ogledov: 1964; Prenosov: 37
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4. Different measures of sensitivity of recipe colour to random and proportional dye concentration errorBoris Sluban, Olivera Šauperl, 2005, izvirni znanstveni članek Opis: A regularity of the predicted sensitivities to random and proportional dye concentration errors in regard to the position of target colour has been observed for the case of dyeing acrylic with basic dyes. The sensitivity of the recipe colour to random dye concentration errors is highest for light neutral target colours and is almost negligible for dark-shade recipes. Recipes for less saturated targets are slightly more sensitive than recipes for more saturated targets of equal lightness. The span of the sensitivities to weighing error of the recipes matching a given target varies with the position of the target in colour space. By contrast, the sensitivity of recipes to dye strength error is the highest at medium to low lightness for neutral and near neutral target shades. The span of sensitivities of the recipes for any such particular target is broad, with some having low sensitivity to strength errors. Recipes for the target colours at the "lighter" part of the gamut border were the least sensitive to strength errors.
Ključne besede: colour, textile dyeing, computer aided reciping, recipe's colour sensitivity
Objavljeno v DKUM: 01.06.2012; Ogledov: 1825; Prenosov: 39
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5. The use of artificial neural networks for colour prediction in textile printingDarko Golob, Jure Zupan, Đurđica Parac-Osterman, 2008, objavljeni znanstveni prispevek na konferenci Opis: An attempt of using artificial neural networks for the prediction of dzes in textile printing paste preparation is presented. An existing collection of printed samples served as the basis for neural network training. It consists of 1340 samples printed using either a single dze or a combination of two dzes. First the proper combination of dzes was determined, because in most cases onlz two dzes are combined in the printing paste. Then the necessarz concentration of each dze was predicted. The reflectance value, and the colourvalues L*, a*, b* serve as input data and the known combination and concentrations of dzes for each sample were the targets. Some variations of neural network were tested, as well as various numbers of neurons in the hidden lazer. In addition, the influence of the training set organisation was examined, together with the number of learning epochs on the learning success.
Ključne besede: artificial neural networks, textile printing, colour recipe prediction
Objavljeno v DKUM: 31.05.2012; Ogledov: 2012; Prenosov: 66
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