Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles

• Published in: Image Analysis and Recognition pp. 9 - 16
• Main Authors: Latorre, P., Peris-Fajarnes, G., Figueiredo, M. A. T.
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Edition: 1ère éd
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Ceramic Tile; Computer science; control theory; systems; Exact sciences and technology; Image Segmentation; Pattern recognition. Digital image processing. Computational geometry; Segmentation Algorithm; Segmentation Result; Singular Value Decomposition; Context; Printing; Image segmentation; Image analysis; Image processing; Cube; Pattern recognition; Modeling; Color image; Half tone image; Ceramic color
• ISBN: 9783540290698; 3540290699
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11559573_2

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.