Skip to main content

Irrelation of Mathematical and Functional Aspects of Descriptive Image Algebras with One Ring Operations Interpretability

  • Conference paper
  • First Online:
Pattern Recognition and Information Processing (PRIP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1055))

Abstract

The study is continued investigation of mathematical and functional/physical interpretation of image analysis and processing operations used as sets of operations (ring elements) in descriptive image algebras (DIA) with one ring. The main result is the determination and characterization of interpretation domains of DIA operations: image algebras that make it possible to operate with both the main image models and main models of transformation procedures that ensure effective synthesis and realization of the basic procedures involved in the formal description, processing, analysis, and recognition of images. The applicability of DIAs in practice is determined by the realizability—the possibility of interpretation—of its operations. The interpretation is considered as a transition from a meaningful description of the operation to its mathematical or algorithmic implementation. The main types of interpretability are defined, and examples of interpretability of operations of the descriptive image algebras with one ring, are given.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Grenander, U., Miller, M.: Pattern Theory: From Representation to Inference. Oxford Studies in Modern European Culture. Oxford University Press, Oxford (2007)

    MATH  Google Scholar 

  2. Gurevich, I.B., Yashina, V.V.: Computer-aided image analysis based on the concepts of invariance and equivalence. Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 16(4), 564–589 (2006)

    Article  Google Scholar 

  3. Gurevich, I.B., Yashina, V.V.: Operations of descriptive image algebras with one ring. Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 16(3), 298–328 (2006)

    Article  Google Scholar 

  4. Gurevich, I.B., Yashina, V.V., Koryabkina, I.V., Niemann, H., Salvetti, O.: Descriptive approach to medical image mining. An algorithmic scheme for analysis of cytological specimens. Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 18(4), 542–562 (2008)

    Article  Google Scholar 

  5. Gurevich, I.B., Yashina, V.V.: Descriptive approach to image analysis: image formalization space. Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 22(4), 495–518 (2012)

    Article  Google Scholar 

  6. Gurevich, I.B., Yashina, V.V.: Descriptive image analysis. foundations and descriptive image algebras. Int. J. Pattern Recogn. Artif. Intell. 33(12), 25 p. (2019)

    Article  Google Scholar 

  7. Gurevich, I.B., Yashina, V.V.: On the interpretability of operations of descriptive image algebras. In: Proceedings of 14th International Conference on Pattern Recognition and Information Processing, Minsk, “Bestprint”, pp. 159–163 (2019)

    Google Scholar 

  8. Gurevich, I.B., Yashina, V.V.: Algebraic interpretation of image analysis operations. Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 29(3), 389–403 (2019)

    Article  Google Scholar 

  9. Gurevich, I.B., Yashina, V.V.. Descriptive image analysis. II. descriptive image models. Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications 29(4) (2019)

    Google Scholar 

  10. Haralick, R.M., Sternberg, S.R., Zhuang, X.: Image analysis using mathematical morphology. IEEE Trans. Pattern Anal. Mach. Intell. 9(4), 532–550 (1987)

    Article  Google Scholar 

  11. Ritter, G.X., Wilson, J.N.: Handbook of Computer Vision Algorithms in Image Algebra, 2nd edn. CRC Press Inc., Boca Raton (2001)

    MATH  Google Scholar 

  12. Zhuravlev Yu.I.: an algebraic approach to recognition and classification problems. Pattern Recogn. Image Anal.: Adv. Math. Theory Appl. 8, 59–100 (1998)

    Google Scholar 

Download references

Acknowledgment

This work was supported in part by the Russian Foundation for Basic Research (Project No. 18-57-00013).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vera Yashina .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gurevich, I., Yashina, V. (2019). Irrelation of Mathematical and Functional Aspects of Descriptive Image Algebras with One Ring Operations Interpretability. In: Ablameyko, S., Krasnoproshin, V., Lukashevich, M. (eds) Pattern Recognition and Information Processing. PRIP 2019. Communications in Computer and Information Science, vol 1055. Springer, Cham. https://doi.org/10.1007/978-3-030-35430-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-35430-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35429-9

  • Online ISBN: 978-3-030-35430-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics