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Outex - New Framework for Empirical Evaluation of Texture Analysis Algorithms
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104485416th International Conference on Patt ...
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Timo Ojala, University of Oulu
Topi Mäenpää, University of Oulu
Matti Pietikäinen, University of Oulu
Jaakko Viertola, University of Oulu
Juha Kyllönen, University of Oulu
Sami Huovinen, University of Oulu
This paper presents the current status of a new initiative aimed at developing a versatile framework and image database for empirical evaluation of texture analysis algorithms. The proposed Outex framework contains a large collection of surface textures captured under different conditions, which facilitates construction of a wide range of texture analysis problems. The problems are encapsulated into test suites, for which baseline results obtained with algorithms from literature are provided. The rich functionality of the framework is demonstrated with examples in texture classification, segmentation and retrieval. The framework has a web site for public dissemination of the database and comparative results obtained by research groups world wide.
Citation:
Timo Ojala, Topi Mäenpää, Matti Pietikäinen, Jaakko Viertola, Juha Kyllönen, Sami Huovinen, "Outex - New Framework for Empirical Evaluation of Texture Analysis Algorithms," icpr, vol. 1, pp.10701, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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