Skip to main content
SpringerLink
Log in

An Informational Technology for Description and Morphometric Analysis of Images of Microobjects

  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

A procedure for generalized description and parameterization of the images of cellular structures of the medico-biological microobjects with the aim of formalizing knowledge of physicians and automating morphometric analysis, classification, and identification of cells computer-aided systems was proposed. Structural and parameterized models for generalized description of the images of normal and pathologically changed cells of blood and sperm were presented by way of example.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  1. Popova, G.M., “Morfolog,” A Computer-aided Morphometric Analyzer of the Images of Microobjects, Conf. “System Approach to Analysis and Control of Biological Objects,” Moscow, 2000, pp. 31–32.

  2. Popova, G.M., Informational Technology for Description of Images of Cellular Structures, in Avtomatizatsiya protsessov analiza izobrazhenii mediko-biologicheskikh mikroob”ektov (Automation of Analysis of the Images of Medico-biological Objects), Moscow: IPU, 1998, vol. 7, pp. 11–20.

    Google Scholar 

  3. Ivanitskii, G.P., Litinskaya, L.L., and Shikhmatova, V.L., Avtomaticheskii analiz mikroob”ektov (Automatic Analysis of Microobjects) Moscow: Energiya, 1967, pp. 170–202.

    Google Scholar 

  4. Revenue, M., Elmoataz, A., Porquet, C., and Cardot, H., An Automatic System for the Classiffication of Cellular Categories in Cytological Images, SPIE Intelligent Robots and Computer Vision. XII, 1993, vol. 2055, pp. 32–43.

    Google Scholar 

  5. Borzov, S.M., Kozik, V.I., and Potaturkin, O.I., Adaptive Method of Recognition of Small Images with Iterative Processing of Correlation Functions, Avtometriya, 1996, no. 1, pp. 12–21.

  6. Kadyrov, A.A. and Filatov, N.G., New Attributes of Images Invariant to the Group of Motions and Affine Transformations, Avtometriya, 1997, no. 4, pp. 65–79.

  7. Kosykh, V.P. and Peretyagin, G.I., Automatic Cytodiagnostics: Hardware, Models, and Methods, in Avtomatizirovannyi analiz kletochnykh populyatsii (Automatic Analysis of Cellular Populations), Novosibirsk: Inst. Avtom. Elektrometrii, 1978, pp. 3–27.

    Google Scholar 

  8. Isakov, V.L., Pinchuk, V.G., and Isakova, L.M., Sovremennye metody avtomatizatsii tsitologicheskikh issledovanii (Modern Methods of Automation of Cytological Studies), Kiev: Naukova Dumka, 1988.

    Google Scholar 

  9. Bogdanov, K.M., Yanovskii, K.A., Kozlov, Yu.G., et al., Optiko-strukturnyi mashinnyi analiz izobrazhenii (Optico-structural Image Analysis), Moscow: Mashinostroenie, 1984.

    Google Scholar 

  10. Chang, Shi-Kuo, Principles of Pictorial Information Systems Design, Englewood Cliffs: Prentice-Hall, 1989. Translated under the title Printsipy proektirovaniya sistem vizual'noi informatsii, Moscow: Mir, 1994.

    Google Scholar 

  11. Avtandilov, G.G., Komp'yuternaya mikrotelefotometriya v diagnosticheskoi gistotsitopatologii (Computer-aidedMicortelephotometry in the Diagnostic Hystocytopathology), Moscow: RMAPO, 1996.

    Google Scholar 

  12. Faure, A., Perception et reconnaissance des formes, Editests, 1985. Translated under the title Vospriyatie i raspoznavanie obrazov, Moscow: Mashinostroenie, 1989.

    Google Scholar 

  13. Abramov, M.G., Gematologicheskii atlas (Hematological Atlas), Moscow: Meditsina, 1975.

    Google Scholar 

  14. Rukovodstvo po klinicheskoi laboratornoi diagnostike (Manual on Clinical Laboratory Diagnostics), Bazarnova, M.A., Ed., Kiev: Vishcha Shkola, 1982, part 2.

    Google Scholar 

  15. Kozlovskaya, L.V. and Martynova, M.A., Uchebnoe posobie po klinicheskim laboratornym metodam issledovaniya (Manual on Clinical Laboratory Examination), Moscow: Meditsina, 1975.

    Google Scholar 

  16. Rukovodstvo po gematologii (Hematology Handbook), Vorob'ev, A.I. et al., Eds., Moscow: Meditsina, 1979.

    Google Scholar 

  17. Druzhinin, Yu.O. and Krasnov, A.E., Informational Facilities for Processing and Morphometric Analysis of the Cell Images, in Avtomatizatsiya protsessov analiza izobrazhenii mediko-biologicheskikh mikroobektov (Automation of Analysis of the Images of Medico-Biological Objects), Moscow: Inst. Problem Upravlen., 1998, pp. 57-68, vol. 7.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    Yu. O. Druzhinin & G. M. Popova

Authors
  1. Yu. O. Druzhinin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. M. Popova
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Druzhinin, Y.O., Popova, G.M. An Informational Technology for Description and Morphometric Analysis of Images of Microobjects. Automation and Remote Control 62, 630–641 (2001). https://doi.org/10.1023/A:1010293830915

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1010293830915

Keywords

Search

Navigation