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Assessing the Neugebauer Colour Prediction Model for ink-jet printed ceramic tiles

Pedro Latorre, Guillermo Peris-Fajarnes, Majid Mirmehdi, Barry Thomas, Assessing the Neugebauer Colour Prediction Model for ink-jet printed ceramic tiles. Proceedings of the fourth IASTED International Conference on Visualization, Imaging and Image Processing. ISBN 0-88986-454-3, pp. 636–641. September 2004. No electronic version available.

Abstract

Ink-jet printing is a new area of development in the Ceramic Tile industry for which Colour Prediction Models can be employed to predict the colour of a printed halftone design in terms of characteristics of the printing process. We apply K-Means and Fuzzy C-Means algorithms on different colour spaces with different metrics to segment microscopic images of printed dots on ceramic tiles, and to obtain the dot area percentage coverage of each ink. This information is used to verify the applicability of the Neugebauer Colour Prediction Model for ink-jet printing. The segmentation quality is evaluated based on a groundtruth generated using principal component analysis.

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