Special Section on Quality Control by Artificial Vision

Automatic grading of appearance retention of carpets using intensity and range images

[+] Author Affiliations
Sergio Alejandro Orjuela Vargas

Ghent University, Department of Telecommunications and Information Processing, Image Processing and Interpretation Group, Interdisciplinary Institute for BroadBand Technology, Ghent, Belgium B-9000

Antonio Nariño University, Faculty of Electronics and Biomedical Engineering, Bogotá, Colombia

Benhur Ortiz-Jaramillo

Ghent University, Department of Textiles, Ghent, Belgium B-9000

Ewout Vansteenkiste

Ghent University, Department of Telecommunications and Information Processing, Image Processing and Interpretation Group, Interdisciplinary Institute for BroadBand Technology, Ghent, Belgium B-9000

Filip Rooms

Ghent University, Department of Telecommunications and Information Processing, Image Processing and Interpretation Group, Interdisciplinary Institute for BroadBand Technology, Ghent, Belgium B-9000

Simon De Meulemeester

Ghent University, Department of Textiles, Ghent, Belgium B-9000

Robain de Keyser

Ghent University, Department of Electrical Energy, Systems, and Automation, Ghent, Belgium B-9000

Lieva Van Langenhove

Ghent University, Department of Textiles, Ghent, Belgium B-9000

Wilfried Philips

Ghent University, Department of Telecommunications and Information Processing, Image Processing and Interpretation Group, Interdisciplinary Institute for BroadBand Technology, Ghent, Belgium B-9000

J. Electron. Imaging. 21(2), 021106 (May 14, 2012). doi:10.1117/1.JEI.21.2.021106
History: Received February 28, 2011; Revised November 16, 2011; Accepted January 5, 2012
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Abstract.  Textiles are mainly used for decoration and protection. In both cases, their original appearance and its retention are important factors for customers. Therefore, evaluation of appearance parameters are critical for quality assurance purposes, during and after manufacturing, to determine the lifetime and/or beauty of textile products. In particular, appearance retention of textile products is commonly certified with grades, which are currently assigned by human experts. However, manufacturers would prefer a more objective system. We present an objective system for grading appearance retention, particularly, for textile floor coverings. Changes in appearance are quantified by using linear regression models on texture features extracted from intensity and range images. Range images are obtained by our own laser scanner, reconstructing the carpet surface using two methods that have been previously presented. We extract texture features using a variant of the local binary pattern technique based on detecting those patterns whose frequencies are related to the appearance retention grades. We test models for eight types of carpets. Results show that the proposed approach describes the degree of wear with a precision within the range allowed to human inspectors by international standards. The methodology followed in this experiment has been designed to be general for evaluating global deviation of texture in other types of textiles, as well as other surface materials.

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© 2012 SPIE and IS&T

Citation

Sergio Alejandro Orjuela Vargas ; Benhur Ortiz-Jaramillo ; Ewout Vansteenkiste ; Filip Rooms ; Simon De Meulemeester, et al.
"Automatic grading of appearance retention of carpets using intensity and range images", J. Electron. Imaging. 21(2), 021106 (May 14, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.021106


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