Quantifying appearance retention in carpets using geometrical local binary patterns
- Author
- Rolando Augusto Quiñones Lara (UGent) , Sergio Alejandro Orjuela Vargas (UGent) , Benhur Ortiz Jaramillo (UGent) , Lieva Van Langenhove (UGent) and Wilfried Philips (UGent)
- Organization
- Abstract
- Quality assessment in carpet manufacturing is performed by humans who evaluate the appearance retention (AR) grade on carpet samples. To quantify the AR grades objectively, different research based on computer vision have been developed. Among them Local Binary Pattern (LBP) and its variations has shown promising results. Nevertheless, the requirements of quality assessment on a wide range of carpets have not been met yet. One of the difficulties is to distinguish between consecutive AR grades in carpets. For this, we adopt an extension of LBP called Geometrical Local Binary Patterns (GLBP) that we recently proposed. The basis of GLBP is to evaluate the grey scale differences between adjacent points defined on a path in a neighbourhood. Symmetries of the paths in the GLBPs are evaluated. The proposed technique is compared with an invariant rotational mirror based LBP technique. The results show that the GLBP technique performs better to distinguish consecutive AR grades in carpets.
- Keywords
- Local Binary Pattern, Carpet Wear Assessment, FEATURE DISTRIBUTIONS, IMAGE-ANALYSIS, INVARIANT TEXTURE CLASSIFICATION, Texture Inspection, Image Analysis
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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1859609
- MLA
- Quiñones Lara, Rolando Augusto, et al. “Quantifying Appearance Retention in Carpets Using Geometrical Local Binary Patterns.” LECTURE NOTES IN COMPUTER SCIENCE, edited by Jacques Blanc-Talon et al., vol. 6915, Springer, 2011, pp. 327–36, doi:10.1007/978-3-642-23687-7_30.
- APA
- Quiñones Lara, R. A., Orjuela Vargas, S. A., Ortiz Jaramillo, B., Van Langenhove, L., & Philips, W. (2011). Quantifying appearance retention in carpets using geometrical local binary patterns. In J. Blanc-Talon, R. Kleihorst, W. Philips, D. Popescu, & P. Scheunders (Eds.), LECTURE NOTES IN COMPUTER SCIENCE (Vol. 6915, pp. 327–336). https://doi.org/10.1007/978-3-642-23687-7_30
- Chicago author-date
- Quiñones Lara, Rolando Augusto, Sergio Alejandro Orjuela Vargas, Benhur Ortiz Jaramillo, Lieva Van Langenhove, and Wilfried Philips. 2011. “Quantifying Appearance Retention in Carpets Using Geometrical Local Binary Patterns.” In LECTURE NOTES IN COMPUTER SCIENCE, edited by Jacques Blanc-Talon, Richard Kleihorst, Wilfried Philips, Dan Popescu, and Paul Scheunders, 6915:327–36. Berlin, Germany: Springer. https://doi.org/10.1007/978-3-642-23687-7_30.
- Chicago author-date (all authors)
- Quiñones Lara, Rolando Augusto, Sergio Alejandro Orjuela Vargas, Benhur Ortiz Jaramillo, Lieva Van Langenhove, and Wilfried Philips. 2011. “Quantifying Appearance Retention in Carpets Using Geometrical Local Binary Patterns.” In LECTURE NOTES IN COMPUTER SCIENCE, ed by. Jacques Blanc-Talon, Richard Kleihorst, Wilfried Philips, Dan Popescu, and Paul Scheunders, 6915:327–336. Berlin, Germany: Springer. doi:10.1007/978-3-642-23687-7_30.
- Vancouver
- 1.Quiñones Lara RA, Orjuela Vargas SA, Ortiz Jaramillo B, Van Langenhove L, Philips W. Quantifying appearance retention in carpets using geometrical local binary patterns. In: Blanc-Talon J, Kleihorst R, Philips W, Popescu D, Scheunders P, editors. LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Germany: Springer; 2011. p. 327–36.
- IEEE
- [1]R. A. Quiñones Lara, S. A. Orjuela Vargas, B. Ortiz Jaramillo, L. Van Langenhove, and W. Philips, “Quantifying appearance retention in carpets using geometrical local binary patterns,” in LECTURE NOTES IN COMPUTER SCIENCE, Ghent, Belgium, 2011, vol. 6915, pp. 327–336.
@inproceedings{1859609,
abstract = {{Quality assessment in carpet manufacturing is performed by humans who evaluate the appearance retention (AR) grade on carpet samples. To quantify the AR grades objectively, different research based on computer vision have been developed. Among them Local Binary Pattern (LBP) and its variations has shown promising results. Nevertheless, the requirements of quality assessment on a wide range of carpets have not been met yet. One of the difficulties is to distinguish between consecutive AR grades in carpets. For this, we adopt an extension of LBP called Geometrical Local Binary Patterns (GLBP) that we recently proposed. The basis of GLBP is to evaluate the grey scale differences between adjacent points defined on a path in a neighbourhood. Symmetries of the paths in the GLBPs are evaluated. The proposed technique is compared with an invariant rotational mirror based LBP technique. The results show that the GLBP technique performs better to distinguish consecutive AR grades in carpets.}},
articleno = {{210}},
author = {{Quiñones Lara, Rolando Augusto and Orjuela Vargas, Sergio Alejandro and Ortiz Jaramillo, Benhur and Van Langenhove, Lieva and Philips, Wilfried}},
booktitle = {{LECTURE NOTES IN COMPUTER SCIENCE}},
editor = {{Blanc-Talon, Jacques and Kleihorst, Richard and Philips, Wilfried and Popescu, Dan and Scheunders, Paul}},
isbn = {{9783642236877}},
issn = {{0302-9743}},
keywords = {{Local Binary Pattern,Carpet Wear Assessment,FEATURE DISTRIBUTIONS,IMAGE-ANALYSIS,INVARIANT TEXTURE CLASSIFICATION,Texture Inspection,Image Analysis}},
language = {{eng}},
location = {{Ghent, Belgium}},
pages = {{210:327--210:336}},
publisher = {{Springer}},
title = {{Quantifying appearance retention in carpets using geometrical local binary patterns}},
url = {{http://dx.doi.org/10.1007/978-3-642-23687-7_30}},
volume = {{6915}},
year = {{2011}},
}
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