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7th IEEE International Conference on Computer and Information Technology (CIT 2007)
Local Binary Patterns on Hexagonal Image Structure
Aizu-Wakamatsu City, Fukushima, Japan
October 16-October 19
ISBN: 0-7695-2983-6
ASCII Text
x 
 
Xiangjian He, Jianmin Li, Wenjing Jia, Qiang Wu, Tom Hintz, "Local Binary Patterns on Hexagonal Image Structure," Computer and Information Technology, International Conference on, pp. 639-644, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/CIT.2007.46,
author = {Xiangjian He and Jianmin Li and Wenjing Jia and Qiang Wu and Tom Hintz},
title = {Local Binary Patterns on Hexagonal Image Structure},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2983-6},
pages = {639-644},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2007.46},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Local Binary Patterns on Hexagonal Image Structure
SN - 0-7695-2983-6
SP639
EP644
A1 - Xiangjian He,
A1 - Jianmin Li,
A1 - Wenjing Jia,
A1 - Qiang Wu,
A1 - Tom Hintz,
PY - 2007
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Xiangjian He, University of Technology, Sydney
Jianmin Li, Fuzhou University, China
Wenjing Jia, University of Technology, Sydney
Qiang Wu, University of Technology, Sydney
Tom Hintz, University of Technology, Sydney
Local Binary Pattern (LBP) was designed and widely used for efficient texture classification. It has been used for face recognition and has potential applications in many other research areas such as human detection. LBP provides a simple and effective way to represent patterns. Uniform LBPs play an important role for LBP-based pattern /object recognition as they include majority of LBPs. In this paper, we present LBP codes on hexagonal image structure. We show that LBPs defined on hexagonal structure have higher percentages of uniform LBPs that will lead to a more efficient and accurate recognition scheme for image classification.
Citation:
Xiangjian He, Jianmin Li, Wenjing Jia, Qiang Wu, Tom Hintz, "Local Binary Patterns on Hexagonal Image Structure," cit, pp.639-644, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007
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