Abstract
Colour prediction models (CPM) can be used to analyze the printing quality of halftone-based color printing systems. In this paper, we consider the Neugebauer CPM which requires as input the fraction of occupation of each primary. To obtain these numbers, we apply several image segmentation algorithms, with and without contextual information. These segmentation algorithms are evaluated with respect to another technique based on mixtures of factor analyzers. More importantly, the segmentation results are evaluated with respect to the performance of the Neugebauer CPM when used with the obtained fractions of occupation. This evaluation is carried out by comparing the predicted color against that measured with a spectrophotometer, and testifies for the adequacy of the approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Basilevsky, A.: Statistical Factor Analysis and Related Methods. John Wiley & Sons, New York (1994)
Cree, M.J.: Observations on Adaptive Vector Filters for Noise Reduction in Color Images. IEEE Signal Processing Letters 11(2), 140–143 (2004)
Ghahramani, Z., Hinton, G.: The EM algorithm for Mixtures of Factor Analyzers. Technical Report CRG-TR-96-1 University of Toronto (1996)
Iovine, L., Westland, S., Cheung, T.L.V.: Application of Neugebauer-based Models to Ceramic Printing, IS&T / SID Twelfth Color Imaging, 176–180 (2004)
Kerajet Ink-Jet printing system, http://www.kerajet.com
Latorre, P., Peris-Fajarnes, G., Mirmehdi, M., Thomas, B.: Assessing the Neuegbauer Colour Prediction Model for Ink-jet Printed Ceramic Tiles. In: Proceedings of the 4th IASTED International Conference on Visualization, Imaging, and Image Processing, pp. 636–641 (2004)
McLachlan, G., Peel, D.: Finite Mixture Models. John Wiley & Sons, New York (2000)
McLachlan, G., Ng, S.K., Galloway, G., Wang, D.: Clustering of Magnetic Resonance Images. In: Proceedings of the American Statistical Association (Statistical Computing Section), pp. 12–17 (1996)
Stokes, M., Fairchild, M.D., Berns, R.S.: Colorimetrically Quantified Visual Tolerances for Pictorial Images. In: Proceedings of TAGA, pp. 757–778 (1992)
Taplin, L.A., Berns, R.S.: Spectral Color Reproduction Based on Six-color Inkjet Output System. In: Proceedings of the Ninth Color Imaging Conference: Colour Science and Engineering, Systems, Technologies, and Applications, pp. 209–213. Springfield (2000)
Wiemker, R.: Unsupervised Fuzzy Classification of Multispectral Imagery Using Spatial-Spectral Features. In: Proceedings of the 21st Annual Meeting of the Gessellschaft für Klassifikation – GfKI 1997, Postdam, pp. 12–14 (1997)
Wyble, D.: A Critical Review of Spectral Models applied to Binary Color Printing. Color Research and Applications 25, 4–19 (2000)
Zhang, X., Wandell, B.A.: A Spatial Extension of Cielab for Digital Color Image Reproduction. Society for Information Display (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Latorre, P., Peris-Fajarnes, G., Figueiredo, M.A.T. (2005). Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_2
Download citation
DOI: https://doi.org/10.1007/11559573_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
Online ISBN: 978-3-540-31938-2
eBook Packages: Computer ScienceComputer Science (R0)