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Selection of optimal texture algorithms for evaluating degradation of carpets through experimental design

[+] Author Affiliations
Sergio A. Orjuela

Universidad Antonio Nariño, Faculty of Electronics and Biomedical Engineering, Ibagué 730001, Colombia

Benhur Ortiz-Jaramillo

Ghent University, Department of Telecommunications and Information Processing, Image Processing and Interpretation Group and Bright Minds & Expertise, Ghent 9000, Belgium

Ewout Vansteenkiste

Ghent University, Department of Physics and Astronomy, Ghent 9000, Belgium

Lieva Van Langenhove

Ghent University, Department of Textiles, Ghent 9000, Belgium

Robain de Keyser

Ghent University, Department of Electrical Energy, Systems and Automation, Ghent-Zwijnaarde 9052, Belgium

Wilfried Philips

Ghent University, Department of Telecommunications and Information Processing, Image Processing and Interpretation Group and Bright Minds & Expertise, Ghent 9000, Belgium

J. Electron. Imaging. 22(3), 033020 (Aug 30, 2013). doi:10.1117/1.JEI.22.3.033020
History: Received January 25, 2013; Revised May 22, 2013; Accepted July 17, 2013
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Abstract.  Optimal texture analysis algorithms for describing degradation of carpets are identified. Experimental design is applied to select from a set of texture analysis algorithms those optimal for identifying texture changes due to degradation of carpets. The degree of wear of a degraded carpet is quantified by comparing its texture to the original texture. The set of texture algorithms is applied on intensity images obtained from the American and the European standards. The performance of the texture algorithms is evaluated using measures that quantify characteristics in the relationship between the metrics and the changes in texture. The statistical analysis of the experimental results shows that the local binary patterns algorithm is optimal in >50% of the cases, for describing degradation of the carpets. Other texture algorithms that optimally characterize the degradation of carpets include the use of the power spectrum, Wigner distribution, and average co-occurrence matrix algorithms.

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Citation

Sergio A. Orjuela ; Benhur Ortiz-Jaramillo ; Ewout Vansteenkiste ; Lieva Van Langenhove ; Robain de Keyser, et al.
"Selection of optimal texture algorithms for evaluating degradation of carpets through experimental design", J. Electron. Imaging. 22(3), 033020 (Aug 30, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.3.033020


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