Prediction of Color Attributes Through Geometrical Modeling

Mathur, Kavita; Seyam, Abdel‐Fattah M.; Hinks, D. G.; Donaldson, R Alan

doi:10.1108/rjta-12-01-2008-b003

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Past research has demonstrated good results obtained with additive methods for the theoretically prediction of the colour values of bicolour and multicolour surfaces (woven fabrics, simulations) [5–8]. Some research has developed more complex methods to confront this problem, with a combination of a geometric and colour model to predict the colour effects of a Jacquard pattern [9]. Additive colour mixing has also been successfully applied in computer‐aided design colour shading, where the colour effect of a final woven structure is calculated additively from RGB colour values of warp and weft threads [10].…”

Section: Introductionmentioning

confidence: 99%

Use of regression methods for determining the relation between theoretical–linear and spectrophotometrical colour values of bicolour woven structures

Gabrijelčič

Dimitrovski

2009

Coloration Technology

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In this paper, new approaches for evaluating the entire colour effect of optical mixing of bicolour woven structures are presented. Simple woven structures with constant colour in the warp direction and different colours in the weft direction were prepared and analysed. The constructional parameters of these woven fabrics were systematically changed, which resulted in the variations of the fractions of colour components and, consequently, also in the changes of colour properties (lightness, hue, chroma) of bicolour optical mixtures. The position of colours of the bicolour structures and the approximate direction (linear) of colour changes in CIELAB colour space were theoretically determined with a simple geometrical model and additive method. Furthermore, the bicolour optical effects were determined spectrophotometrically. The differences between the linear–theoretical and the spectrophotometrical colour values of bicolour woven fabrics were mathematically analysed with linear and non‐linear regression methods to determine the positions of colour coordinates L*, a* and b* of bicolour woven fabrics in the a*b* plane by increasing or reducing the cover factors of warp and weft threads (addition or reduction of colour components). The results present, on the one hand, the strong influence of original colours of warp and weft threads and, on the other hand, the minor influence of constructional parameters on the form of linear/non‐linear behaviour of colours of bicolour compositions. When the characteristics of a specific colour combination are taken into account, the spectrophotometrical colour values of bicolour woven fabrics can be also mathematically determined with additive–theoretical colour values and, to some extent, with predictable colour deviations.

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Section: Introductionmentioning

confidence: 99%

Use of regression methods for determining the relation between theoretical–linear and spectrophotometrical colour values of bicolour woven structures

Gabrijelčič

Dimitrovski

2009

Coloration Technology

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“…Mathur et al proposed a general geometrical model, and the use of the K / S (Kubelka‐Munk) model and log K / S model, which can be implemented in patterned fabric design and in automation of the process for selecting the colour of the thread and weave. The model calculates geometrical relationships and predicts the contribution of coloured yarns in patterned woven structures.…”

Section: Introductionmentioning

confidence: 99%

Use of a predictive colour model for managing the colour appearance of two‐colour woven fabrics

Dimitrovski

Grmek

Tomc

2020

Coloration Technology

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The aim of this study was to implement a two‐dimensional colour appearance model for prediction of the colour values of weft threads when the optical mixing of a two‐colour woven structure had to match the colour appearance of a single‐colour reference woven fabric. Five single‐colour woven fabrics were woven from five threads of similar hue. One of the samples was chosen as a reference, for which the colour appearance was the goal to be achieved in the two‐colour woven fabrics prepared with the other available warp threads and newly dyed weft threads. The colour values of dyed weft threads were predicted by a two‐dimensional colour appearance model. With dyed weft threads, managing the colour appearance of the two‐colour woven fabric was enabled to achieve the colour values of the reference. In the results, colour deviations between the predicted and measured colour values of weft threads revealed some limitations to the colour appearance model and performance of the dyeing process. After the production of the two‐colour woven fabric, the colour appearance matched the appearance of the reference, resulting in deviations of ΔECMC(2:1) = 1.2‐7.8. Moreover, the differences between theoretically predicted and measured colour values of the two‐colour woven fabric were evaluated as small, ranging from ΔECMC(2:1) = 1.5‐1.9. The results demonstrated the efficiency of implementing the colour appearance model and the dyeing process of weft threads as an approach to achieve the defined colour appearance of two‐colour woven fabrics, which with small colour deviations matches the colour of a single‐colour reference.

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A general geometrical model for predicting color mixing of woven fabrics from colored warp and filling yarns

Seyam

Mathur²

2012

Fibers Polym

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Prediction of Color Attributes Through Geometrical Modeling

Cited by 5 publications

References 15 publications

Use of regression methods for determining the relation between theoretical–linear and spectrophotometrical colour values of bicolour woven structures

Use of regression methods for determining the relation between theoretical–linear and spectrophotometrical colour values of bicolour woven structures

Use of a predictive colour model for managing the colour appearance of two‐colour woven fabrics

A general geometrical model for predicting color mixing of woven fabrics from colored warp and filling yarns

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