Abstract
This paper proposes two complementary color systems: red-green-blue-white-black and cyan-magenta-yellow-black-white. Both systems belong to the five-valued category and they represent some particular case of neutrosophic information representation. The proposed multi-valued fuzzy spaces are obtained by constructing fuzzy partitions in the unit cube. In the structure of these five-valued representations, the negation, the union and the intersection operators were defined. Next, using the proposed multi-valued representation in the framework of fuzzy clustering algorithm, it results some color image clustering procedure.
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Patrascu, V. (2014). Multi-valued Fuzzy Spaces for Color Representation. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_18
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DOI: https://doi.org/10.1007/978-3-319-08855-6_18
Publisher Name: Springer, Cham
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