In this letter, we propose a novel texture descriptor that takes advantage of an anisotropic neighborhood. A brand new encoding scheme called Reflection and Rotation Invariant Uniform Patterns (rriu2) is proposed to explore local structures of textures. The proposed descriptor is called Oriented Local Binary Patterns (OLBP). OLBP may be incorporated into other varieties of Local Binary Patterns (LBP) to obtain more powerful texture descriptors. Experimental results on CUReT and Outex databases show that OLBP not only significantly outperforms LBP, but also demonstrates great robustness to rotation and illuminant changes.
Chao LIANG
Tsinghua University,Shenzhen Key Laboratory of Information Science and Technology,Tsinghua-PolyU Biometrics Joint Lab
Wenming YANG
Tsinghua University,Shenzhen Key Laboratory of Information Science and Technology,Tsinghua-PolyU Biometrics Joint Lab
Fei ZHOU
Tsinghua University,Shenzhen Key Laboratory of Information Science and Technology,Tsinghua-PolyU Biometrics Joint Lab
Qingmin LIAO
Tsinghua University,Shenzhen Key Laboratory of Information Science and Technology,Tsinghua-PolyU Biometrics Joint Lab
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Chao LIANG, Wenming YANG, Fei ZHOU, Qingmin LIAO, "Reflection and Rotation Invariant Uniform Patterns for Texture Classification" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 5, pp. 1400-1403, May 2016, doi: 10.1587/transinf.2015EDL8193.
Abstract: In this letter, we propose a novel texture descriptor that takes advantage of an anisotropic neighborhood. A brand new encoding scheme called Reflection and Rotation Invariant Uniform Patterns (rriu2) is proposed to explore local structures of textures. The proposed descriptor is called Oriented Local Binary Patterns (OLBP). OLBP may be incorporated into other varieties of Local Binary Patterns (LBP) to obtain more powerful texture descriptors. Experimental results on CUReT and Outex databases show that OLBP not only significantly outperforms LBP, but also demonstrates great robustness to rotation and illuminant changes.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8193/_p
Copy
@ARTICLE{e99-d_5_1400,
author={Chao LIANG, Wenming YANG, Fei ZHOU, Qingmin LIAO, },
journal={IEICE TRANSACTIONS on Information},
title={Reflection and Rotation Invariant Uniform Patterns for Texture Classification},
year={2016},
volume={E99-D},
number={5},
pages={1400-1403},
abstract={In this letter, we propose a novel texture descriptor that takes advantage of an anisotropic neighborhood. A brand new encoding scheme called Reflection and Rotation Invariant Uniform Patterns (rriu2) is proposed to explore local structures of textures. The proposed descriptor is called Oriented Local Binary Patterns (OLBP). OLBP may be incorporated into other varieties of Local Binary Patterns (LBP) to obtain more powerful texture descriptors. Experimental results on CUReT and Outex databases show that OLBP not only significantly outperforms LBP, but also demonstrates great robustness to rotation and illuminant changes.},
keywords={},
doi={10.1587/transinf.2015EDL8193},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Reflection and Rotation Invariant Uniform Patterns for Texture Classification
T2 - IEICE TRANSACTIONS on Information
SP - 1400
EP - 1403
AU - Chao LIANG
AU - Wenming YANG
AU - Fei ZHOU
AU - Qingmin LIAO
PY - 2016
DO - 10.1587/transinf.2015EDL8193
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2016
AB - In this letter, we propose a novel texture descriptor that takes advantage of an anisotropic neighborhood. A brand new encoding scheme called Reflection and Rotation Invariant Uniform Patterns (rriu2) is proposed to explore local structures of textures. The proposed descriptor is called Oriented Local Binary Patterns (OLBP). OLBP may be incorporated into other varieties of Local Binary Patterns (LBP) to obtain more powerful texture descriptors. Experimental results on CUReT and Outex databases show that OLBP not only significantly outperforms LBP, but also demonstrates great robustness to rotation and illuminant changes.
ER -