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Reviewing, selecting and evaluating features in distinguishing fine changes of global texture

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Abstract

The evaluation of appearance parameters is critical for quality assurance purposes when determining lifetime and/or beauty of textile products. Practical evaluations of appearance are often performed by human visual inspection, which is repetitive, exhausting, unreliable and costly. Thus, computerized automatic visual inspection has been used to alleviate those problems. Several papers have proposed objective mechanisms for quality inspection mostly using texture analysis approaches which are often not robust enough. One of the main issues for robustness of texture analysis approaches is the capability of distinguishing between similar textures. In this paper, we review, select and evaluate texture analysis approaches for distinguishing fine changes of global texture in degradation of textile floor coverings. As a result, we found that the power spectrum, local binary patterns, the texture spectrum, Gaussian Markov random fields, autoregressive models and the pseudo-Wigner distribution provide good descriptors for measuring fine changes of global texture. That is, those features can be used as starting point in applications involving fine changes of global texture, as well as a basis for the development of new methods.

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Acknowledgements

This research is partially supported within the framework of WearTex project 2010−2011 funded by CWO; fellowship between Universiteit Gent, Universidad Antonio Nariño and Universidad Nacional de Colombia; and Universiteit Gent, iMinds,IPI. This work is partially supported by the project Universidad Nacional de Colombia, cod 20501007205.

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Authors and Affiliations

  1. Universiteit Gent, iMinds, IPI, St-Pietersnieuwstraat 41, 9000, Gent, Belgium

    B. Ortiz-Jaramillo & W. Philips

  2. Universidad Antonio Nariño, GEPRO, Bogotá, Colombia

    S. A. Orjuela-Vargas

  3. Universidad Nacional de Colombia, SPRG, Bogotá, Colombia

    B. Ortiz-Jaramillo & C. G. Castellanos-Dominguez

  4. Universiteit Gent, De vakgroep Textielkunde, Gent, Belgium

    L. Van-Langenhove

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  1. B. Ortiz-Jaramillo
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  4. C. G. Castellanos-Dominguez
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  5. W. Philips
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Correspondence to B. Ortiz-Jaramillo.

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Ortiz-Jaramillo, B., Orjuela-Vargas, S.A., Van-Langenhove, L. et al. Reviewing, selecting and evaluating features in distinguishing fine changes of global texture. Pattern Anal Applic 17, 1–15 (2014). https://doi.org/10.1007/s10044-013-0352-8

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