TY - GEN
T1 - Ultra local binary pattern for image texture analysis
AU - CHEUNG, Yiu Ming
AU - Deng, Junping
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/11
Y1 - 2014/12/11
N2 - Local Binary Pattern (LBP) is a simple yet powerful method for image feature extraction in pattern recognition and image processing. However, the LBP operator of each pixel mainly depends on its neighboring pixels and emphasizes on local information too much. From the practical viewpoint, the information is quite limited if we consider the LBP operator in isolation, especially for a large image. To deal with this issue, we propose ultra LBP (U-LBP), which consider the relationship among different LBP operators. The proposed method cannot only get the local but also ultra local information. The effectiveness of the proposed algorithm is investigated on gender recognition and digit recognition, respectively. The experimental results show that the proposed method outperforms the traditional LBP.
AB - Local Binary Pattern (LBP) is a simple yet powerful method for image feature extraction in pattern recognition and image processing. However, the LBP operator of each pixel mainly depends on its neighboring pixels and emphasizes on local information too much. From the practical viewpoint, the information is quite limited if we consider the LBP operator in isolation, especially for a large image. To deal with this issue, we propose ultra LBP (U-LBP), which consider the relationship among different LBP operators. The proposed method cannot only get the local but also ultra local information. The effectiveness of the proposed algorithm is investigated on gender recognition and digit recognition, respectively. The experimental results show that the proposed method outperforms the traditional LBP.
KW - Co-occurrence matrix
KW - Feature extraction
KW - Local binary pattern
KW - Ultra local binary pattern
UR - http://www.scopus.com/inward/record.url?scp=84920747782&partnerID=8YFLogxK
U2 - 10.1109/SPAC.2014.6982701
DO - 10.1109/SPAC.2014.6982701
M3 - Conference proceeding
AN - SCOPUS:84920747782
T3 - Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
SP - 290
EP - 293
BT - Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
PB - IEEE
T2 - 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
Y2 - 18 October 2014 through 19 October 2014
ER -