Demonstration of image retrieval based on illumination invariant textural MRF features

Authors:
Pavel Vacha;Michal Haindl
Affiliations:
Institute of Information Theory and Automation Academy of Sciences, Czech Republic;Institute of Information Theory and Automation Academy of Sciences, Czech Republic
Venue:
Proceedings of the 6th ACM international conference on Image and video retrieval
Year:
2007

Citing 2
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Image retrieval measures based on illumination invariant textural MRF features

Proceedings of the 6th ACM international conference on Image and video retrieval

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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.