Pavel Vacha
ABSTRACT
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invariant features, which are extracted from Markov random field (MRF) based texture representations. These features allow retrieving images with similar scenes comprising colour-textured objects viewed with different illumination brightness or spectrum. The illumination invariant retrieval is verified on textures from the Outex database.
- T. Ojala, T. Mäenpää, M. Pietikäinen, J. Viertola, J. Kyllönen, and S. Huovinen. Outex- new framework for empirical evaluation of texture analysis algorithms. In 16th International Conference on Pattern Recognition, pages 701--706, August 2002. Google Scholar
Digital Library
- P. Vacha and M. Haindl. Image retrieval measures based on illumination invariant textural mrf features. In ACM International Conference on Image and Video Retrieval (CIVR'07), accepted. ACM, July 9--11 2007. Google ScholarDigital Library
Index Terms
- Demonstration of image retrieval based on illumination invariant textural MRF features
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