Advanced search
1 file | 1.36 MB

A comparison between intensity and depth images for extracting features related to wear labels in carpets

Author
Organization
Abstract
Carpet manufacturers certify their products with labels corresponding to the capability of the carpets in retaining the original appearance. Traditionally, these labels are subjectively defined by reference cases where human experts evaluate the degree of wear, which is quantified by a number called the wear label. Industry is very interested in converting these traditional standards to automated objective standards. With this purpose, research has been conducted using image analysis with either depth or intensity data. In this paper, we present a comparison of texture features extracted from both types of images. For this, we scanned 3D data and photographed eight types of images provided from the EN1471 standard. The features are extracted comparing the distribution of Local Binary Patterns (LBPs) computed from images of original and change in appearance. We assess how well we can arrange the features in the order of the wear labels and count the number of consecutive wear labels that can be statistically distinguished. We found that two of the eight carpet types are properly described using depth data and five using intensity data while one type could not be described. These results suggest that both types of images can be complementary used for representing the wear labels. This can lead to an automated and universal labeling system for carpets.
Keywords
lbp, wear analysis, texture analysis, range images

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.36 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Orjuela Vargas, Sergio Alejandro, Ewout Vansteenkiste, Filip Rooms, Simon De Meulemeester, Robain De Keyser, and Wilfried Philips. 2010. “A Comparison Between Intensity and Depth Images for Extracting Features Related to Wear Labels in Carpets.” In Proceedings of the Society of Photo-optical Instrumentation Engineers (spie), ed. Andrew G Tescher. Vol. 7798. 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. (2010). A comparison between intensity and depth images for extracting features related to wear labels in carpets. In A. G. Tescher (Ed.), PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (Vol. 7798). Presented at the Applications of Digital Image Processing XXXIII, 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. A comparison between intensity and depth images for extracting features related to wear labels in carpets. In: Tescher AG, editor. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE). Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2010.
MLA
Orjuela Vargas, Sergio Alejandro, Ewout Vansteenkiste, Filip Rooms, et al. “A Comparison Between Intensity and Depth Images for Extracting Features Related to Wear Labels in Carpets.” Proceedings of the Society of Photo-optical Instrumentation Engineers (spie). Ed. Andrew G Tescher. Vol. 7798. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2010. Print.
@inproceedings{1053296,
  abstract     = {Carpet manufacturers certify their products with labels corresponding to the capability of the carpets in retaining the original appearance. Traditionally, these labels are subjectively defined by reference cases where human experts evaluate the degree of wear, which is quantified by a number called the wear label. Industry is very interested in converting these traditional standards to automated objective standards. With this purpose, research has been conducted using image analysis with either depth or intensity data. In this paper, we present a comparison of texture features extracted from both types of images. For this, we scanned 3D data and photographed eight types of images provided from the EN1471 standard. The features are extracted comparing the distribution of Local Binary Patterns (LBPs) computed from images of original and change in appearance. We assess how well we can arrange the features in the order of the wear labels and count the number of consecutive wear labels that can be statistically distinguished. We found that two of the eight carpet types are properly described using depth data and five using intensity data while one type could not be described. These results suggest that both types of images can be complementary used for representing the wear labels. This can lead to an automated and universal labeling system for carpets.},
  articleno    = {77982M},
  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 THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)},
  editor       = { Tescher, Andrew G},
  isbn         = {9780819482945},
  issn         = {0277-786X},
  keyword      = {lbp,wear analysis,texture analysis,range images},
  language     = {eng},
  location     = {San Diego, CA, USA},
  pages        = {8},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {A comparison between intensity and depth images for extracting features related to wear labels in carpets},
  url          = {http://dx.doi.org/10.1117/12.872829},
  volume       = {7798},
  year         = {2010},
}

Altmetric
View in Altmetric
Web of Science
Times cited: