DocumentCode :
2411824
Title :
Outex - new framework for empirical evaluation of texture analysis algorithms
Author :
Ojala, Timo ; Mäenpää, Topi ; Pietikainen, Matti ; Viertola, Jaakko ; Kyllönen, Juha ; Huovinen, Sami
Author_Institution :
Machine Vision & Media Process. Unit, Oulu Univ., Finland
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
701
Abstract :
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.
Keywords :
image classification; image retrieval; image segmentation; image texture; visual databases; Outex; image database; image retrieval; image segmentation; surface textures; texture analysis algorithms; texture classification; Algorithm design and analysis; Computer vision; Design engineering; Image analysis; Image databases; Image segmentation; Image texture analysis; Machine vision; Performance analysis; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1044854
Filename :
1044854
Link To Document :
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