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Improving textures discrimination in the local binary patterns techniques by using symmetry & group theory

Sergio Alejandro Orjuela Vargas UGent, Rolando Augusto Quiñones Lara UGent, Benhur Ortiz Jaramillo UGent, Filip Rooms UGent, Robain De Keyser UGent and Wilfried Philips UGent (2011) 2011 17th International conference on digital signal processing.
abstract
The underlying working mechanism of Local Binary Pattern (LBP) techniques is still a topic to investigate. In this paper we explore symmetry & group theory for grouping functions that represent binary intensity changes obtained with the LBP technique. This additionally offers a strong mathematical foundation for the basis of the technique. We include complement and mirror invariants to the known LBP rotational invariant. We tested our algorithm using 13 textures from the Brodatz database. The statistical analysis shows that combining rotational, mirrored and complemented versions of local texture results in an improvement in the performance of the technique in terms of accuracy describing textures and discrimination distinguishing textures.
Please use this url to cite or link to this publication:
author
organization
alternative title
Improving textures discrimination in the local binary patterns techniques by using symmetry and group theory
year
type
conference
publication status
published
subject
keyword
texture symmetry, LBP technique, texture representation, texture discrimination
in
2011 17th International conference on digital signal processing
article_number
F3C3
pages
6 pages
publisher
IEEE
place of publication
New York, NY, USA
conference name
17th International conference on Digital Signal Processing (DSP 2011)
conference location
Corfu, Greece
conference start
2011-07-06
conference end
2011-07-08
ISBN
9781457702723
9781457702730
DOI
10.1109/ICDSP.2011.6004978
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1856634
handle
http://hdl.handle.net/1854/LU-1856634
date created
2011-07-11 07:39:36
date last changed
2012-03-26 16:03:50
@inproceedings{1856634,
  abstract     = {The underlying working mechanism of Local Binary Pattern (LBP) techniques is still a topic to investigate. In this paper we explore symmetry \& group theory for grouping functions that represent binary intensity changes obtained with the LBP technique. This additionally offers a strong mathematical foundation for the basis of the technique. We include complement and mirror invariants to the known LBP rotational invariant. We tested our algorithm using 13 textures from the Brodatz database. The statistical analysis shows that combining rotational, mirrored and complemented versions of local texture results in an improvement in the performance of the technique in terms of accuracy describing textures and discrimination distinguishing textures.},
  articleno    = {F3C3},
  author       = {Orjuela Vargas, Sergio Alejandro and Qui{\~n}ones Lara, Rolando Augusto and Ortiz Jaramillo, Benhur and Rooms, Filip and De Keyser, Robain and Philips, Wilfried},
  booktitle    = {2011 17th International conference on digital signal processing},
  isbn         = {9781457702723},
  keyword      = {texture symmetry,LBP technique,texture representation,texture discrimination},
  language     = {eng},
  location     = {Corfu, Greece},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Improving textures discrimination in the local binary patterns techniques by using symmetry \& group theory},
  url          = {http://dx.doi.org/10.1109/ICDSP.2011.6004978},
  year         = {2011},
}

Chicago
Orjuela Vargas, Sergio Alejandro, Rolando Augusto Quiñones Lara, Benhur Ortiz Jaramillo, Filip Rooms, Robain De Keyser, and Wilfried Philips. 2011. “Improving Textures Discrimination in the Local Binary Patterns Techniques by Using Symmetry & Group Theory.” In 2011 17th International Conference on Digital Signal Processing. New York, NY, USA: IEEE.
APA
Orjuela Vargas, S. A., Quiñones Lara, R. A., Ortiz Jaramillo, B., Rooms, F., De Keyser, R., & Philips, W. (2011). Improving textures discrimination in the local binary patterns techniques by using symmetry & group theory. 2011 17th International conference on digital signal processing. Presented at the 17th International conference on Digital Signal Processing (DSP 2011), New York, NY, USA: IEEE.
Vancouver
1.
Orjuela Vargas SA, Quiñones Lara RA, Ortiz Jaramillo B, Rooms F, De Keyser R, Philips W. Improving textures discrimination in the local binary patterns techniques by using symmetry & group theory. 2011 17th International conference on digital signal processing. New York, NY, USA: IEEE; 2011.
MLA
Orjuela Vargas, Sergio Alejandro, Rolando Augusto Quiñones Lara, Benhur Ortiz Jaramillo, et al. “Improving Textures Discrimination in the Local Binary Patterns Techniques by Using Symmetry & Group Theory.” 2011 17th International Conference on Digital Signal Processing. New York, NY, USA: IEEE, 2011. Print.