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Analytic and Synthetic Forms of Vague Categorization

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Fuzzy Pictures as Philosophical Problem and Scientific Practice

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 348))

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Abstract

Most quantities or measures of interest modeling some form of uncertainty correspond to the intrinsic kind. Fuzzy image analysis is based on the premise that the properties of edge, boundary region or tonal relations in images are not generally represented in sharp terms. In general, the selection of relevant features and their standards is constrained by the aims and standards of the technical practice of analysis or processing and its specific applications, e.g., as formulated by performance indices.

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Notes

  1. 1.

    Pal and King [1, 2].

  2. 2.

    Maji and Pal [3].

  3. 3.

    See their application for instance in Gong et al. [4].

  4. 4.

    Sen and Pal [5, 3.1].

  5. 5.

    Ibid., 3.9–10.

References

  1. Pal, S. K., & King, R. A. (1980). Image enhancement with fuzzy set. Electronics Letters, 16(10), 376–378.

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  2. Pal, S. K., & King, R. A. (1981). Image enhancement using smoothing with fuzzy set. IEEE Transactions of Systems Man and Cybernetics, 11(7), 495–501.

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  3. Maji, P., & Pal, S. K. (2010). Rough-fuzzy clustering algorithm for segmentation of brain MR images. In S. K. Pal, & J. F. Peters (Eds.)., Rough fuzzy image analysis: (pp. 2.1–21). Boca Raton, FL: CRC Press.

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  4. Gong, S., McKenna, S. J., & Psarrou, A. (2000). Dynamic vision. London: Imperial College Press.

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  5. Sen, D., & Pal, S. K. (2010). Image thresholding using generalized rough sets. In S. K. Pal, & J. F. Peters (Eds.)., Rough fuzzy image analysis: (pp. 3.1–29). Boca Raton, FL: CRC Press.

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Authors and Affiliations

  1. Department of History and Philosophy of Science, Indiana University, Bloomington, USA

    Jordi Cat

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  1. Jordi Cat
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Correspondence to Jordi Cat .

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Cat, J. (2017). Analytic and Synthetic Forms of Vague Categorization. In: Fuzzy Pictures as Philosophical Problem and Scientific Practice. Studies in Fuzziness and Soft Computing, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-319-47190-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-47190-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47189-1

  • Online ISBN: 978-3-319-47190-7

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