Title :
3D rotation invariant local binary patterns
Author :
Fehr, J. ; Burkhardt, H.
Author_Institution :
Pattern Recognition & Image Process., Univ. of Freiburg, Freiburg, Germany
Abstract :
We present a novel method for the fast computation of rotation invariant ¿local binary patterns¿ (LBP) on 3D volume data. Unlike a previous publication on 3D LBP, this new approach is not limited to ¿uniform patterns¿, providing a real 3D extension of the standard and rotation invariant LBP. We evaluate our methods in the context of 3D texture analysis of biological data.
Keywords :
image recognition; image texture; 3D rotation invariant local binary patterns; 3D texture analysis; 3D volume data; biological data; uniform patterns; Approximation methods; Biological information theory; Data analysis; Gray-scale; Image processing; Image texture analysis; Pattern analysis; Pattern recognition; Sampling methods; Standards publication;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761098
