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

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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.
Keywords
Carpet wear, Automated labeling assessment, LBP technique, Kullback-Leibler, Image analysis

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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.
@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},
}

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