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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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
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