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Quantifying Appearance Retention in Carpets Using Geometrical Local Binary Patterns

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6915))

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 have 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 is better for distinguishing consecutive AR grades in carpets.

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Authors and Affiliations

  1. Department of Telecommunications and Information Processing (TELIN-IPI-IBBT), Ghent University, St-Pietersnieuwstraat 41, Gent, Belgium

    Rolando Quinones, Sergio A. Orjuela, Benhur Ortiz-Jaramillo & Wilfried Philips

  2. Department of Textiles, Ghent University, Technologiepark 907, 9052, Gent, Belgium

    Rolando Quinones, Benhur Ortiz-Jaramillo & Lieva Van Langenhove

  3. Faculty of Electronic and Biomedical Engineering, Antonio Narino University, Cra. 58A No. 37, 94, Bogota, Colombia

    Rolando Quinones & Sergio A. Orjuela

Authors
  1. Rolando Quinones
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  2. Sergio A. Orjuela
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  3. Benhur Ortiz-Jaramillo
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  4. Lieva Van Langenhove
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  5. Wilfried Philips
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Editor information

Editors and Affiliations

  1. DGA, 7-9 rue des mathurins, 92 221, Bagneux, France

    Jacques Blanc-Talon

  2. VITO-TAP, Boeretang 200, 2400, MOl, Belgium

    Richard Kleihorst

  3. Ghent University, St. -Pietersnieuwstraat 41, B9000, Ghent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre, Epping,, Po Box 76, 1710, Sydney, NSW, Australia

    Dan Popescu

  5. Physics, University of Antwerp, Universiteitsplein 1; Building N, 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2011 Springer-Verlag Berlin Heidelberg

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Quinones, R., Orjuela, S.A., Ortiz-Jaramillo, B., Van Langenhove, L., Philips, W. (2011). Quantifying Appearance Retention in Carpets Using Geometrical Local Binary Patterns. In: Blanc-Talon, J., Kleihorst, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2011. Lecture Notes in Computer Science, vol 6915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23687-7_30

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  • DOI: https://doi.org/10.1007/978-3-642-23687-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23686-0

  • Online ISBN: 978-3-642-23687-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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