DocumentCode :
2480828
Title :
Rotation invariant local phase quantization for blur insensitive texture analysis
Author :
Ojansivu, Ville ; Rahtu, Esa ; Heikkilä, Janne
Author_Institution :
Machine Vision Group, Univ. of Oulu, Oulu
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
This paper introduces a rotation invariant extension to the blur insensitive local phase quantization texture descriptor. The new method consists of two stages, the first of which estimates the local characteristic orientation, and the second one extracts a binary descriptor vector. Both steps of the algorithm apply the phase of the locally computed Fourier transform coefficients, which can be shown to be insensitive to centrally symmetric image blurring. The new descriptors are assessed in comparison with the well known texture descriptors, local binary patterns (LBP) and Gabor filtering. The results illustrate that the proposed method has superior performance in those cases where the image contains blur and is slightly better even with sharp images.
Keywords :
Fourier transforms; Gabor filters; image restoration; image texture; quantisation (signal); Fourier transform; Gabor filtering; binary descriptor vector; blur insensitive texture analysis; local binary patterns; rotation invariant local phase quantization; symmetric image blurring; Degradation; Focusing; Fourier transforms; Frequency; Gabor filters; Image analysis; Image texture analysis; Machine vision; Quantization; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761377
Filename :
4761377
Link To Document :
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