Robustness of Markov Random Field features in changes of illumination colour and direction

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Pavel Vácha, Michal Haindl

Institute of Information Theory and Automation of the ASCR

Algorithm and Features:
P. Vácha and M. Haindl. Illumination Invariant and Rotational Insensitive Textural Representation. in: Proceedings of IEEE International Conference on Image Processing (ICIP'09), pp. 1333-1336, Cairo, Egypt, 7-11 November 2009.

P. Vácha and M. Haindl. Illumination Invariants Based on Markov Random Fields.
in: Proceedings of the 19th International Conference on Pattern Recognition (ICPR'08), Tampa, Florida, USA, December 8-11 2008.

P. Vácha and M. Haindl.
Image retrieval measures based on illumination invariant textural MRF Features. in: Proceedings of the 6th ACM International Conference on Image and Video Retrieval 2007 (CIVR’07), pp. 448-455, Amsterdam, The Netherlands, July 9-11 2007.

Texture Databases:
K.J. Dana, B. Van-Ginneken, S.K. Nayar, and J.J. Koenderink. Reflectance and Texture of Real World Surfaces. ACM Transactions on Graphics (TOG), vol.18, no.1, pp. 1-34, Jan, 1999.

T. Ojala, T. Mäenpää, M. Pietikäinen, J. Viertola, J. Kyllönen, and S. Huovinen. Outex - new framework for empirical evaluation of texture analysis algorithms. in: Proceedings of the International Conference on Pattern Recognition (ICPR'02), pp. 701-706, August 2002

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