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Surface reconstruction of wear in carpets by using a wavelet edge detector

Sergio Alejandro Orjuela Vargas UGent, Benhur Ortiz Jaramillo UGent, Simon De Meulemeester, Julio Garcia, Filip Rooms UGent, Aleksandra Pizurica UGent and Wilfried Philips UGent (2010) LECTURE NOTES IN COMPUTER SCIENCE. 6474. p.309-320
abstract
Carpet manufacturers have wear labels assigned to their products by human experts who evaluate carpet samples subjected to accelerated wear in a test device. There is considerable industrial and academic interest in going from human to automated evaluation, which should be less cumbersome and more objective. In this paper, we present image analysis research on videos of carpet surfaces scanned with a 3D laser. The purpose is obtaining good depth Images for an automated system that should have a high percentage of correct assessments for a wide variety of carpets. The innovation is the use of a wavelet edge detector to obtain a more continuously defined surface shape. The evaluation is based on how well the algorithms allow a good linear ranking and a good discriminance of consecutive wear labels. The results show an improved linear ranking for most carpet types, for two carpet types the results are quite significant.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
Carpet wear, Automated labeling assessment, LBP technique, Kullback-Leibler, Image analysis
in
LECTURE NOTES IN COMPUTER SCIENCE
Lect. Notes Comput. Sci.
editor
Jacques Blanc-Talon, Don Bone, Wilfried Philips UGent, Dan Popescu and Paul Scheunders
volume
6474
issue title
Advanced concepts for intelligent vision systems 2010
pages
309 - 320
publisher
Springer
place of publication
Berlin, Germany
conference name
12th International conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2010)
conference location
Sydney, Australia
conference start
2010-12-13
conference end
2010-12-17
Web of Science type
Proceedings Paper
Web of Science id
000287941400030
ISSN
0302-9743
ISBN
9783642176876
DOI
10.1007/978-3-642-17688-3_30
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1100808
handle
http://hdl.handle.net/1854/LU-1100808
date created
2011-01-15 16:08:08
date last changed
2017-03-09 12:10:40
@inproceedings{1100808,
  abstract     = {Carpet manufacturers have wear labels assigned to their products by human experts who evaluate carpet samples subjected to accelerated wear in a test device. There is considerable industrial and academic interest in going from human to automated evaluation, which should be less cumbersome and more objective. In this paper, we present image analysis research on videos of carpet surfaces scanned with a 3D laser. The purpose is obtaining good depth Images for an automated system that should have a high percentage of correct assessments for a wide variety of carpets. The innovation is the use of a wavelet edge detector to obtain a more continuously defined surface shape. The evaluation is based on how well the algorithms allow a good linear ranking and a good discriminance of consecutive wear labels. The results show an improved linear ranking for most carpet types, for two carpet types the results are quite significant.},
  author       = {Orjuela Vargas, Sergio Alejandro and Ortiz Jaramillo, Benhur and De Meulemeester, Simon and Garcia, Julio and Rooms, Filip and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  editor       = {Blanc-Talon, Jacques  and Bone, Don  and Philips, Wilfried and Popescu, Dan and Scheunders, Paul },
  isbn         = {9783642176876},
  issn         = {0302-9743},
  keyword      = {Carpet wear,Automated labeling assessment,LBP technique,Kullback-Leibler,Image analysis},
  language     = {eng},
  location     = {Sydney, Australia},
  pages        = {309--320},
  publisher    = {Springer},
  title        = {Surface reconstruction of wear in carpets by using a wavelet edge detector},
  url          = {http://dx.doi.org/10.1007/978-3-642-17688-3\_30},
  volume       = {6474},
  year         = {2010},
}

Chicago
Orjuela Vargas, Sergio Alejandro, Benhur Ortiz Jaramillo, Simon De Meulemeester, Julio Garcia, Filip Rooms, Aleksandra Pizurica, and Wilfried Philips. 2010. “Surface Reconstruction of Wear in Carpets by Using a Wavelet Edge Detector.” In Lecture Notes in Computer Science, ed. Jacques Blanc-Talon, Don Bone, Wilfried Philips, Dan Popescu, and Paul Scheunders, 6474:309–320. Berlin, Germany: Springer.
APA
Orjuela Vargas, S. A., Ortiz Jaramillo, B., De Meulemeester, S., Garcia, J., Rooms, F., Pizurica, A., & Philips, W. (2010). Surface reconstruction of wear in carpets by using a wavelet edge detector. In Jacques Blanc-Talon, D. Bone, W. Philips, D. Popescu, & P. Scheunders (Eds.), LECTURE NOTES IN COMPUTER SCIENCE (Vol. 6474, pp. 309–320). Presented at the 12th International conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), Berlin, Germany: Springer.
Vancouver
1.
Orjuela Vargas SA, Ortiz Jaramillo B, De Meulemeester S, Garcia J, Rooms F, Pizurica A, et al. Surface reconstruction of wear in carpets by using a wavelet edge detector. In: Blanc-Talon J, Bone D, Philips W, Popescu D, Scheunders P, editors. LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Germany: Springer; 2010. p. 309–20.
MLA
Orjuela Vargas, Sergio Alejandro, Benhur Ortiz Jaramillo, Simon De Meulemeester, et al. “Surface Reconstruction of Wear in Carpets by Using a Wavelet Edge Detector.” Lecture Notes in Computer Science. Ed. Jacques Blanc-Talon et al. Vol. 6474. Berlin, Germany: Springer, 2010. 309–320. Print.