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

Latorre, Pedro; Perís-Fajarnés, Guillermo; Figueiredo, Mário A. T.

doi:10.1007/11559573_2

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…28), 29) Secondly, the non-linear models are more accurate than the linear ones. This is due to the existence of the n parameter, which models the optical dot gain.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of color prediction models in the decoration of ceramic tiles

Perís-Fajarnés

Latorre

Defez

et al. 2008

J. Ceram. Soc. Japan

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The manufacturing of ceramic tiles is a very complex process, where a wide range of variables has an important influence in the final product. With regard to external appearance, the most of the production defects take place in the decoration station. Nevertheless, these defects are usually detected before baking, when the product is already finished, causing an important loss of effectives. Under this perspective, a mechanism able to detect the printing defects in the green parts would achieve 2 goals: on one hand, the reduction of the nonquality costs since green parts can be more easily recycled; and on the other hand, it would point out the real root cause of the failure by indicating, for instance, which ink is causing the problem. Color Prediction Models (CPM) are mathematical approaches which relate the microscopic distribution of the printed dots of a halftone image with the resulting macroscopic color. Its usage is extended in the field of the Graphic Arts, especially for calibration and fine image reproduction. However, they are barely known in the ceramic tile industry, a sector that keeps many similarities with the Graphic Arts one in terms of decorating. In this paper, we analyzed the prediction quality of 4 successful CPM (MurrayDavies, Yule-Nielsen, Neugebauer and Neugebauer Modified Yule-Nielsen) on 1 and 2 inks halftones printed on ceramic substrates, setting a comparison between them by means of linear and non-linear optimization techniques. Moreover, we proposed a value for the enigmatic"n"parameter on ceramic surfaces, which is said to model the optical dot gain phenomenon.

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“…28), 29) Secondly, the non-linear models are more accurate than the linear ones. This is due to the existence of the n parameter, which models the optical dot gain.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of color prediction models in the decoration of ceramic tiles

Perís-Fajarnés

Latorre

Defez

et al. 2008

J. Ceram. Soc. Japan

Self Cite

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“…1). Available researches that segment microscale image to use the results in characterizing halftone prints or to evaluate color prediction models assume existence of only paper and ink in a halftone print [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Thoughts on Twin Earth

Jacquette

2016

Metaphysica

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This article presents a comprehensive study of 30 color transforms to accurately segment images of halftone prints and thus calculating the parameters of a color prediction model. The transforms are evaluated combining three metrics: the model accuracy, Otsu's discriminant, and correlation coefficients of histograms. Hierarchical cluster analysis is applied to determine the thresholds to segment the image histogram into paper, ink and mixed area. Among the 30 different transforms discussed in this article, 21 channels are of 7 color space models (RGB, CMYK, CIELAB, HSV, YIQ, YCbCr, and XYZ) and the other 9 channels are specially designed. Notable increase in model accuracy validates the segmentation accuracy and the necessity of choosing the appropriate transform. A set of 180 halftone images of different print properties (such as paper, halftone, ink and printing technology) has been used for the evaluation. It is found that, the most appropriate transform depends on the type of primary ink, but the corresponding transforms in CMYK color space model have shown consistent performance. CMYK-C, XYZ-Y and LAB-B are the best transforms for Cyan, Magenta and Yellow ink color respectively. YIQ-I and HSV-S are good candidates if a single transform is to be chosen for all primary ink colors.

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

Cited by 2 publications

References 7 publications

Evaluation of color prediction models in the decoration of ceramic tiles

Evaluation of color prediction models in the decoration of ceramic tiles

Thoughts on Twin Earth

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