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Fuzzy property-oriented concept lattices in morphological image and signal processing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 7903 LNCS(PART 2) 246-253
DOI: 10.1007/978-3-642-38682-4_28
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Abstract

Fuzzy property-oriented concept lattices are a formal tool for modeling and processing incomplete information in information systems. This paper relates this theory to fuzzy mathematical morphology, which scope, for instance, is to process and analyze images and signals. Consequently, the theory developed in the concept lattice framework can be used in these particular settings. © 2013 Springer-Verlag Berlin Heidelberg.

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Alcalde, C., Burusco, A., Díaz, J. C., Fuentes-González, R., & Medina-Moreno, J. (2013). Fuzzy property-oriented concept lattices in morphological image and signal processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7903 LNCS, pp. 246–253). https://doi.org/10.1007/978-3-642-38682-4_28

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