CLASSIFYING AND COMPARING REGULAR TEXTURES FOR RETRIEVAL USING TEXEL GEOMETRY
Junwei Han, Stephen J. McKenna
2009
Abstract
Regular textures can be modelled as consisting of periodic patterns where a fundamental unit, or texel, occurs repeatedly. This paper explores the use of a representation of texel geometry for classification and comparison of regular texture images. Texels are automatically extracted from images and the distribution of texel shape and orientation is modelled. The application of this model to image retrieval and browsing is discussed using examples from a database of art and textile images.
References
- Starovoitov, V., Jeong, S., and Park, R., 1998. Texture periodicity detection: features, properties, and comparisons. IEEE Trans. on Systems, Man, and Cybernetics-Part A: Systems and Humans, 28, 839- 849.
- Charalampidis, D., 2006. Texture synthesis: textons revisited. IEEE Trans. on Image Processing, 15, 777- 787.
- Lin, H., Wang, L., Yang, S., 1997. Extracting periodicity of a regular texture based on autocorrelation functions. Pattern Recognition Letters, 18, 433-443.
- Liu, Y., Collins, R., Tsin, Y., 2004. A computational model for periodic pattern perception based on frieze and wallpaper groups. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26, 354-371.
- Lin, W., Liu, Y., 2007. A lattice-based MRF model for dynamic near-regular texture tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence, 29, 777- 792.
- Lin, W., Hays, J., Wu, C., Kwatra, V., Liu, Y., 2006. Quantitative evaluation of near regular texture synthesis algorithms. In IEEE Conference on Computer Vision and Pattern Recognition, 427-434.
- Liu, F., Picard, R., 1996, Periodicity, directionality, and randomness: wold features for image modeling and retrieval. IEEE Trans. on Pattern Analysis and Machine Intelligence, 18, 722-733.
- Lin, H., Wang, L., Yang, S., 1999. Regular-texture image retrieval based on texture-primitive extraction. Image and Vision Computing, 17, 51-63.
- Lee, K., Chen, L., 2005. An efficient computation method for the texture browsing descriptor of MPEG-7. Image and Vision Computing, 23, 479-489.
- Chetverikov, D., 2000. Pattern regularity as a visual key. Image and Vision Computing, 18, 975-986.
- Hays, J., Leordeanu, M., Efros, A., Liu, Y., 2006. Discovering texture regularity as a higher-order correspondence problem. In European Conference on Computer Vision, 522-535.
- Leu, J., 2001. On indexing the periodicity of image textures. Image and Vision Computing, 19, 987-1000.
- Han, J., McKenna, S.J., Wang, R., 2008. Regular texture analysis as statistical model selection, In European Conference on Computer Vision, 242-255.
- Raftery, A.E., 1995. Bayesian model selection in social research. Sociological Methodology, 25, 111-163.
Paper Citation
in Harvard Style
Han J. and J. McKenna S. (2009). CLASSIFYING AND COMPARING REGULAR TEXTURES FOR RETRIEVAL USING TEXEL GEOMETRY . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 347-354. DOI: 10.5220/0001792703470354
in Bibtex Style
@conference{visapp09,
author={Junwei Han and Stephen J. McKenna},
title={CLASSIFYING AND COMPARING REGULAR TEXTURES FOR RETRIEVAL USING TEXEL GEOMETRY},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={347-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001792703470354},
isbn={978-989-8111-69-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - CLASSIFYING AND COMPARING REGULAR TEXTURES FOR RETRIEVAL USING TEXEL GEOMETRY
SN - 978-989-8111-69-2
AU - Han J.
AU - J. McKenna S.
PY - 2009
SP - 347
EP - 354
DO - 10.5220/0001792703470354