Towards automation of colour/weave selection in Jacquard designs: model verification through visual assessment
| Autor: | Abdel-Fattah M. Seyam, Kavita Mathur, R. Alan Donaldson, David Hinks |
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| Rok vydání: | 2008 |
| Předmět: |
business.industry
Computer science Materials Science (miscellaneous) General Chemical Engineering Experimental data Sample (statistics) Pattern recognition Yarn Automation Chemistry (miscellaneous) visual_art Visual assessment visual_art.visual_art_medium Artificial intelligence business Geometric modeling Colour model Selection (genetic algorithm) |
| Zdroj: | Coloration Technology. 124:48-55 |
| ISSN: | 1478-4408 1472-3581 |
| Popis: | A geometric model combined with a colour model to predict the colour contribution of each pre-coloured yarn in terms of colour attributes of each area of a Jacquard pattern was developed. To validate the predicted calculations (colorimetric data), a visual assessment experiment was conducted to evaluate the difference between predicted and the actual colour appearance of the woven pattern. The results from the psychophysical evaluation of the woven samples and their predicted colour values showed high correlation between the predicted and experimental data. Therefore, the model has potential to eliminate subjective evaluations and reduce prototype sample production by automating the process of weave/colour simulation. |
| Databáze: | OpenAIRE |
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