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Selecting Relevant Features from Fabric Images for Automated Quality Control of Seam Puker Using Data Analysis and Human Experts Grading

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Computational Textile

Part of the book series: Studies in Computational Intelligence ((SCI,volume 55))

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References

  • Bahlmann C, Heidemann G and Ritter H, Artificial neural networks for automated Quality control of textile seams, Pattern Recognition, vol. 32, n°6, pp. 1049-1060, 1999.

    Article  Google Scholar 

  • Barnsley MT, Fractals Everywhere, Academic Press, New York, 1988.

    MATH  Google Scholar 

  • Chen SS, Keller JM, Crownover RM, On the calculation of fractal features from images, IEEE Trans. Pattern Anal. Mach. Intell. 15(10), pp. 1087-1090, 1993.

    Article  Google Scholar 

  • Creath K and Wyant JC, Moiré and fringe projection techniques in Optical Shop Testing Second Edition, D. Malacara, Ed., John Wiley Sons Inc., 1992.

    Google Scholar 

  • Escofier B and Pages J, Comparaison de groupes de variables définies sur le meme ensemble d’individus, Rapport de Recherche, n°149, INRIA, 1982. ISO, 105-A03 Textiles -Test for colour fastness -part A03: grey scale for as-sessing staining.

    Google Scholar 

  • Kang TJ and Lee JY, Objective evaluation of wrinkles and Seam puckers using fractal geometry, in Textile Research Journal, vol. 70, n°6, pp. 469-475, 2000.

    Article  Google Scholar 

  • Karras DA, Karkanis SA and Mertzios BG, Supervised and unsupervised neural networks methods applied to textile quality control based on improved wavelet feature extraction techniques, International Journal on Computer Mathematics, vol. 67, pp. 169-181, 1998.

    Article  MATH  Google Scholar 

  • Linka A and Volf P, Statistical methods of classification of textures and Quality Control of textile Material, in URL: citeseer. ist. psu. edu/524838. html, 2002.

    Google Scholar 

  • Mallat S, Multi-resolution approximations and wavelet orthonormal bases of L2, Trans. Amer. Math. Soc., vol. 315, pp. 69-87, 1989.

    Article  MATH  MathSciNet  Google Scholar 

  • Mandelbrot BB, The Fractal Geometry of Nature, Freeman, New-York, 1983.

    Google Scholar 

  • Martinez AM and Kak AC, PCA versus LDA, IEEE Transactions on Pattern Analysis and machine intelligence, vol. 23, n°2, pp. 228-233, 2001.

    Article  Google Scholar 

  • Parker TS and Chua LO, Practical Numerical Algorithms for Chaotic Systems, Springer, New York, 1989.

    MATH  Google Scholar 

  • Pentland AP, Fractal-based description of natural scenes, IEEE Trans. Pattern Anal. Mach. Intell. n°6, pp. 661-674, 1984.

    Google Scholar 

  • Xin B and Hu J, Objective evaluation of fabric pilling using image analysis tech-niques, Textile Research Journal, vol. 72, n°12, pp. 1057-1064, 2002.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Ecole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), 9 Rue de I'Ermitage, 59056, Roubaix CX 01, France

    Prof. Ludovic Koehl

  2. Gemtex Laboratory, The ENSAIT Textile Institute, 9, Rue de l'Ermitage, 59100, Roubaix

    Jawad Chraïbi Miou

  3. Institut Français Textile Habillement (IFTH), Rue de la Recherche, 59650, Villeneuve d'Ascq

    Prof. Xianyi Zeng

Authors
  1. Prof. Ludovic Koehl
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  2. Jawad Chraïbi Miou
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  3. Prof. Xianyi Zeng
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Editor information

Editors and Affiliations

  1. Ecole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), 9 Rue de I'Ermitage, 59056, Roubaix CX 01, France

    Xianyi Zeng

  2. Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China

    Yi Li

  3. The Belgian Nuclear Research Center (SCK ·CEN), Boeretang 200, 2400, MOL, Belgium

    Da Ruan

  4. Ecole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), 9 Rue de I'Ermitage, 59056, Roubaix CX 01, France

    Ludovic Koehl

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© 2007 Springer-Verlag Berlin Heidelberg

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Koehl, L., Miou, J.C., Zeng, X. (2007). Selecting Relevant Features from Fabric Images for Automated Quality Control of Seam Puker Using Data Analysis and Human Experts Grading. In: Zeng, X., Li, Y., Ruan, D., Koehl, L. (eds) Computational Textile. Studies in Computational Intelligence, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70658-8_3

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  • DOI: https://doi.org/10.1007/978-3-540-70658-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70656-4

  • Online ISBN: 978-3-540-70658-8

  • eBook Packages: EngineeringEngineering (R0)

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