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Fuzzy Granulation Approach to Color Digital Picture Recognition

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Artificial Intelligence and Soft Computing (ICAISC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7894))

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Abstract

This paper presents a new approach to color digital picture recognition, especially classification of pictures described by linguistic terms. Fuzzy granulation is proposed to express a picture as a composition of fuzzy granules that carry information about color, location, and size, each of these attributes represented by fuzzy sets characterized by membership functions. With regard to the color, the CIE chromaticity triangle is applied, with the concept of fuzzy color areas. The classification result is obtained based on fuzzy IF-THEN rules and fuzzy logic inference employed in a fuzzy system.

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References

  1. Briggs, D.: The Dimensions of Colour (2012), available on the Internet http://www.huevaluechroma.com

  2. Felzenszwalb, P., Huttenlocher, D.: Efficient graph-based image segmentation. International Journal of Computer Vision 59(2), 167–181 (2004)

    Article  Google Scholar 

  3. Fortner, B.: Number by color. Part 5. SciTech Journal 6, 30–33 (1996)

    Google Scholar 

  4. Fortner, B., Meyer, T.E.: Number by Color. A Guide to Using Color to Undersdand Technical Data. Springer (1997)

    Google Scholar 

  5. Moeslund, T.B.: Introduction to Video and Image Processing. Building Real Systems and Applications. Springer, London (2012)

    Book  MATH  Google Scholar 

  6. Pascale, D.: A Review of RGB Color Spaces ... from xyY to R’G’B’. The BabelColor Company (2003), available on the Internet http://www.babelcolor.com

  7. Pascale, D.: The RGB Code: The Mysteries of Color Revealed. Part 3: Color Differences and Converting Colors (2004), available on the Internet http://www.graphics.com

  8. Pascale, D.: RGB Coordinates of the Macbeth ColorChecker. The BabelColor Company (2006), available on the Internet http://www.babelcolor.com

  9. Pedrycz, W.: Neural networks in the framework of granular computing. International Journal of Applied Mathematics and Computer Science 10(4), 723–745 (2000)

    MathSciNet  MATH  Google Scholar 

  10. Pedrycz, W., Vukovich, G.: Granular computing in pattern recognition. In: Bunke, H., Kandel, A. (eds.) Neuro-Fuzzy Pattern Recofnition, pp. 125–143. World Scientific (2000)

    Google Scholar 

  11. Rutkowska, D.: Neuro-Fuzzy Architectures and Hybrid Learning. Springer (2002)

    Google Scholar 

  12. Rutkowska, D., Wiaderek, K.: Fuzzy classification of color patterns. In: Proceedings of the 5th Conference on Neural Networks and Soft Computing, Zakopane, Poland, pp. 368–373 (2000)

    Google Scholar 

  13. Tadeusiewicz, R., Ogiela, M.R.: Why Automatic Understanding? In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds.) ICANNGA 2007, Part II. LNCS, vol. 4432, pp. 477–491. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  14. Wiaderek, K.: Fuzzy sets in colour image processing based on the CIE chromaticity triangle. In: Rutkowska, D., Cader, A., Przybyszewski, K. (eds.) Selected Topics in Computer Science Applications, pp. 3–26. Academic Publishing House EXIT, Warsaw (2011)

    Google Scholar 

  15. Williamson, S.J., Cummins, H.Z.: Light and Color in Nature and Art. Wiley (1983)

    Google Scholar 

  16. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  17. Zadeh, L.A.: Fuzzy sets and information granularity. In: Gupta, M., Ragade, R., Yager, R. (eds.) Advances in Fuzzy Set Theory and Applications, pp. 3–18. North Holland, Amsterdam (1979)

    Google Scholar 

  18. Zadeh, L.A.: Fuzzy logic and calculi of fuzzy rules and fuzzy graphs: a precis. Multiple Valued Logic 1, 1–38 (1996)

    MathSciNet  MATH  Google Scholar 

  19. Zadeh, L.A.: Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems 90, 111–127 (1997)

    Article  MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Computer and Information Sciences, Czestochowa University of Technology, Dabrowskiego Street 73, 42-201, Czestochowa, Poland

    Krzysztof Wiaderek & Danuta Rutkowska

Authors
  1. Krzysztof Wiaderek
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  2. Danuta Rutkowska
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Michiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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Wiaderek, K., Rutkowska, D. (2013). Fuzzy Granulation Approach to Color Digital Picture Recognition. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38658-9_37

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  • DOI: https://doi.org/10.1007/978-3-642-38658-9_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38657-2

  • Online ISBN: 978-3-642-38658-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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