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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 162))

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Abstract

This chapter introduces a relaxed form of descriptive proximity, an approximation approach to determining the closeness of descriptions of nerve shapes which is highly application-oriented. It is seldom the case that a pair of cell complexes have matching descriptions, even though the particular cell complexes are close with the exception of one or more of the feature values in the descriptions of the complexes. This anomaly in descriptive proximities between cell complexes is prevalent in physical systems in spacetime, where cell complexes with matching descriptions are usually not found. For example, the wavelength of the reflected light from one triangulated surface shape \(\text{ sh }A\) may be very close to the wavelength of the reflected light from triangulated surface shape \(\text{ sh }B\). If we choose wavelength the reflected light from a surface shape as a feature to consider, then the description \(\varPhi (\text{ sh }A)\) would usually not equal \(\varPhi (\text{ sh }B)\). To circumvent this problem, approximate descriptive proximities are introduced in this chapter.

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References

  1. Planck, M.: Ueber das gesetz der energiervertlung im nomalspectrum. Deutschen Physikalishchen Gesellschaft 2, 553–563 (1900)

    Google Scholar 

  2. Worsley, A.: The formulation of harmonic quintessence and a fundamental energy equivalence equation. Phys. Essays 23(2), 311–319 (2010). https://doi.org/10.4006/1.3392799, ISSN 0836-1398

  3. Peters, J.: Computational proximity. Excursions in the topology of digital images. Intell. Syst. Ref. Libr. 102, Xxviii + 433 (2016). https://doi.org/10.1007/978-3-319-30262-1, MR3727129 and Zbl 1382.68008

  4. Concilio, A.D., Guadagni, C., Peters, J., Ramanna, S.: Descriptive proximities. Properties and interplay between classical proximities and overlap. Math. Comput. Sci. 12(1), 91–106 (2018). MR3767897, Zbl 06972895

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  5. Gupta, S., Gupta, S.: I.I.T. Physics, revised Ed., ii+1784. Jui Prakash Nath Publications, Meerut (1999). ASIN: B07CLNWBL for 2018 Ed

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Correspondence to James F. Peters .

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Peters, J.F. (2020). Shapes and Their Approximate Descriptive Proximities. In: Computational Geometry, Topology and Physics of Digital Images with Applications. Intelligent Systems Reference Library, vol 162. Springer, Cham. https://doi.org/10.1007/978-3-030-22192-8_7

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