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Analysing wear in carpets by detecting varying local binary patterns

Sergio Alejandro Orjuela Vargas UGent, Ewout Vansteenkiste UGent, Filip Rooms UGent, Simon De Meulemeester UGent, Robain De Keyser UGent and Wilfried Philips UGent (2011) Proceedings of SPIE, the International Society for Optical Engineering. 7870.
abstract
Currently, carpet companies assess the quality of their products based on their appearance retention capabilities. For this, carpet samples with different degrees of wear after a traffic exposure simulation process are rated with wear labels by human experts. Experts compare changes in appearance in the worn samples to samples with original appearance. This process is subjective and humans can make mistakes up to 10% in rating. In search of an objective assessment, research using texture analysis has been conducted to automate the process. Particularly, Local Binary Pattern (LBP) technique combined with a Symmetric adaptation of the Kullback-Leibler divergence (SKL) are successful for extracting texture features related to the wear labels either from intensity and range images. We present in this paper a novel extension of the LBP techniques that improves the representation of the distinct wear labels. The technique consists in detecting those patters that monotonically change with the wear labels while grouping the others. Computing the SKL from these patters considerably increases the discrimination between the consecutive groups even for carpet types where other LBP variations fail. We present results for carpet types representing 72% of the existing references for the EN1471:1996 European standard.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
IMAGE-ANALYSIS, INVARIANT TEXTURE CLASSIFICATION, Texture Analysis, Wear Analysis, Image Analysis, LBP techniques
in
Proceedings of SPIE, the International Society for Optical Engineering
Proc. SPIE Int. Soc. Opt. Eng.
editor
Jaakko T Astola and Karen O Egiazarian
volume
7870
issue title
Image processing : algorithms and systems IX
article_number
787007
pages
7 pages
publisher
SPIE, the International Society for Optical Engineering
place of publication
Bellingham, WA, USA
conference name
Image Processing : Algorithms and Systems IX
conference location
San Francisco, CA, USA
conference start
2011-01-24
conference end
2011-01-25
Web of Science type
Article
Web of Science id
000293696700005
ISSN
0277-786X
ISBN
9780819484079
DOI
10.1117/12.871988
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1123586
handle
http://hdl.handle.net/1854/LU-1123586
date created
2011-02-04 01:45:50
date last changed
2012-11-13 16:35:23
@inproceedings{1123586,
  abstract     = {Currently, carpet companies assess the quality of their products based on their appearance retention capabilities. For this, carpet samples with different degrees of wear after a traffic exposure simulation process are rated with wear labels by human experts. Experts compare changes in appearance in the worn samples to samples with original appearance. This process is subjective and humans can make mistakes up to 10\% in rating. In search of an objective assessment, research using texture analysis has been conducted to automate the process. Particularly, Local Binary Pattern (LBP) technique combined with a Symmetric adaptation of the Kullback-Leibler divergence (SKL) are successful for extracting texture features related to the wear labels either from intensity and range images. We present in this paper a novel extension of the LBP techniques that improves the representation of the distinct wear labels. The technique consists in detecting those patters that monotonically change with the wear labels while grouping the others. Computing the SKL from these patters considerably increases the discrimination between the consecutive groups even for carpet types where other LBP variations fail. We present results for carpet types representing 72\% of the existing references for the EN1471:1996 European standard.},
  articleno    = {787007},
  author       = {Orjuela Vargas, Sergio Alejandro and Vansteenkiste, Ewout and Rooms, Filip and De Meulemeester, Simon and De Keyser, Robain and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Astola, Jaakko T and Egiazarian, Karen O},
  isbn         = {9780819484079},
  issn         = {0277-786X},
  keyword      = {IMAGE-ANALYSIS,INVARIANT TEXTURE CLASSIFICATION,Texture Analysis,Wear Analysis,Image Analysis,LBP techniques},
  language     = {eng},
  location     = {San Francisco, CA, USA},
  pages        = {7},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Analysing wear in carpets by detecting varying local binary patterns},
  url          = {http://dx.doi.org/10.1117/12.871988},
  volume       = {7870},
  year         = {2011},
}

Chicago
Orjuela Vargas, Sergio Alejandro, Ewout Vansteenkiste, Filip Rooms, Simon De Meulemeester, Robain De Keyser, and Wilfried Philips. 2011. “Analysing Wear in Carpets by Detecting Varying Local Binary Patterns.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. Jaakko T Astola and Karen O Egiazarian. Vol. 7870. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Orjuela Vargas, S. A., Vansteenkiste, E., Rooms, F., De Meulemeester, S., De Keyser, R., & Philips, W. (2011). Analysing wear in carpets by detecting varying local binary patterns. In J. T. Astola & K. O. Egiazarian (Eds.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 7870). Presented at the Image Processing : Algorithms and Systems IX, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Orjuela Vargas SA, Vansteenkiste E, Rooms F, De Meulemeester S, De Keyser R, Philips W. Analysing wear in carpets by detecting varying local binary patterns. In: Astola JT, Egiazarian KO, editors. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2011.
MLA
Orjuela Vargas, Sergio Alejandro, Ewout Vansteenkiste, Filip Rooms, et al. “Analysing Wear in Carpets by Detecting Varying Local Binary Patterns.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. Jaakko T Astola & Karen O Egiazarian. Vol. 7870. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2011. Print.