IMAGE PROCESSING IN MATERIAL ANALYSES OF ARTWORKS

Miroslav Beneš, Barbara Zitová, Janka Hradilová, David Hradil

Abstract

In this paper we present a system for processing, description and archiving material analyses used during art restoration - Nephele. The aim of the material analyses of painting layers is to identify inorganic and organic compounds using microanalytical methods, and to describe stratigraphy and morphology of layers. The results are used to interpret the applied painting technique. The Nephele system is a database system for material analysis reports, extended with image preprocessing modules and image retrieval facility. The implemented digital image processing methods are image registration, layers segmentation, and grains segmentation. In the archiving part of the Nephele, in addition to traditional database functions we have incorporated image-based retrieval methods into the developed system. They are based on feature descriptions such as the Haralick descriptors of co-occurrence matrices. The presented examples of achieved results show the applicability of the system.

References

  1. Addis, M., Boniface, M., Goodall, S., Grimwood, P., Kim, S., Lewis, P., Martinez, K., and Stevenson, A. (2003). Integrated image content and metadata search and retrieval across multiple databases. LNCS, 2728:91- 100.
  2. Beckmann, N., Kriegel, H.-P., Schneider, R., and Seeger, B. (1990). The R¤-tree: An efficient and robust access method for points and rectangles. In 1990 ACM SIGMOD International Conference on Management of Data, volume 19, pages 322-331.
  3. Goodall, S., Lewis, P. H., Martinez, K., Sinclair, P., Giorgini, F., Addis, M., Boniface, M., Lahanier, C., and Stevenson, J. (2004). Sculpteur: Multimedia retrieval for museums. LNCS, 3115:638-646.
  4. Haralick, R. M., Shanmugam, K., and Dinstein, I. (1973). Textural features for image classification. IEEE Transactions on Systems, Man and Cybernetics, SMC-3(6):610-621.
  5. Penney, G. P., Weese, J., Little, J. A., Desmedt, P., Hill, D. L. G., and Hawkes, D. J. (1998). A comparison of similarity measures for use in 2D-3D medical image registration. IEEE Trans. Medical Imaging, 17:586- 595.
  6. Veltkamp, R. C. and Tanase, M. (2000). Content-based image retrieval systems: A survey. Technical Report, UU-CS-2000-34.
  7. Viola, P. and Wells, W. M. (1997). Alignment by maximization of mutual information. Int'l. Journal of Computer Vision, 24:137-154.
  8. Xu, C. and Prince, J. L. (1998). Snakes, shapes, and gradient vector flow. IEEE Trans. on Image Processing, 7(3):359-369.
Download


Paper Citation


in Harvard Style

Beneš M., Zitová B., Hradilová J. and Hradil D. (2008). IMAGE PROCESSING IN MATERIAL ANALYSES OF ARTWORKS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 521-524. DOI: 10.5220/0001079705210524


in Bibtex Style

@conference{visapp08,
author={Miroslav Beneš and Barbara Zitová and Janka Hradilová and David Hradil},
title={IMAGE PROCESSING IN MATERIAL ANALYSES OF ARTWORKS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={521-524},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001079705210524},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - IMAGE PROCESSING IN MATERIAL ANALYSES OF ARTWORKS
SN - 978-989-8111-21-0
AU - Beneš M.
AU - Zitová B.
AU - Hradilová J.
AU - Hradil D.
PY - 2008
SP - 521
EP - 524
DO - 10.5220/0001079705210524