DocumentCode :
1502727
Title :
Texture classification using invariant features of local textures
Author :
Janney, Pranam ; Geers, Glenn
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
Volume :
4
Issue :
3
fYear :
2010
fDate :
6/1/2010 12:00:00 AM
Firstpage :
158
Lastpage :
171
Abstract :
In this paper, the authors present a texture descriptor algorithm called invariant features of local textures (IFLT). IFLT generates scale, rotation and (essentially) illumination invariant descriptors from a small neighbourhood of pixels around a centre pixel or a texture patch. Texture classification experiments were carried out on the Brodatz, Outex and KTH-TIPS2 databases. Demonstrated texture classification accuracy exceeds the previously published state of the art at a significantly lower computational cost. Experiments also suggests that IFLT descriptors are in a sense intuitive texture descriptors.
Keywords :
feature extraction; image classification; image resolution; image texture; KTH-TIPS2 databases; illumination invariant descriptors; invariant features of local textures; texture classification; texture descriptor algorithm; texture patch;
fLanguage :
English
Journal_Title :
Image Processing, IET
Publisher :
iet
ISSN :
1751-9659
Type :
jour
DOI :
10.1049/iet-ipr.2008.0229
Filename :
5471811
Link To Document :
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