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

P Latorre; G Peris-Fajarnes; M Mirmehdi; B Thomas

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

P Latorre
, G Peris-Fajarnes
, M Mirmehdi
, B Thomas

Bristol Robotics Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

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.

Translated title of the contribution	Assessing the Neugebauer Colour Prediction Model for ink-jet printed ceramic tiles
Original language	English
Title of host publication	Unknown
Pages	636 - 641
Number of pages	5
Publication status	Published - Sept 2004

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of the fourth IASTED International Conference on Visualization, Imaging and Image Processing

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title = "Assessing the Neugebauer Colour Prediction Model for ink-jet printed ceramic tiles",

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. ",

author = "P Latorre and G Peris-Fajarnes and M Mirmehdi and B Thomas",

note = "Conference Proceedings/Title of Journal: Proceedings of the fourth IASTED International Conference on Visualization, Imaging and Image Processing",

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AU - Latorre, P

AU - Peris-Fajarnes, G

AU - Mirmehdi, M

AU - Thomas, B

N1 - Conference Proceedings/Title of Journal: Proceedings of the fourth IASTED International Conference on Visualization, Imaging and Image Processing

PY - 2004/9

Y1 - 2004/9

N2 - 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.

AB - 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.

M3 - Conference Contribution (Conference Proceeding)

SN - 0889864543

SP - 636

EP - 641

BT - Unknown

ER -

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

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