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• W2809832684 abstract "Mathematical morphology is a theory with applications in image processing and analysis. In a supervised approach to mathematical morphology, pixel values are ranked according to sets of foreground and background elements specified a priori by the user. In this paper, we introduce a supervised fuzzy color-based approach to color mathematical morphology that provides an elegant alternative to the support vector machine-based approach developed by Velasco-Forero and Angulo. Briefly, color elements are ranked according to the degree of truth of the proposition “the considered color is a foreground color but it is not a background color” in the new supervised color morphological approach. Furthermore, the vagueness and uncertainty inherent to the description of colors by humans can be naturally incorporated in the new approach using the concept of fuzzy colors." @default.
• W2809832684 created "2018-07-10" @default.
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• W2809832684 date "2018-01-01" @default.
• W2809832684 modified "2023-10-02" @default.
• W2809832684 title "Color Mathematical Morphology Using a Fuzzy Color-Based Supervised Ordering" @default.
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• W2809832684 doi "https://doi.org/10.1007/978-3-319-95312-0_24" @default.
• W2809832684 hasPublicationYear "2018" @default.
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