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Journal Nonlinear World №3 for 2017 г.
Article in number:
Analytical models of continuous images
Authors:
M.H. Aksyaitov - Head of Department SPC JSC Concern «Granit-Electron» E.V. Egorova - Ph.D. (Eng.), Associate Professor, Department of «Telecommunication systems», MIREA E-mail: calipso575@gmail.com N.V. Martynov - Leading Expert, FSUE VNIIA them. N.L. Dukhov A.N. Rybakov - Leading Engineer, FSUE VNIIA them. N.L. Dukhov
Abstract:
Classification of the main types of object modeling is carried out and basic approaches for the mathematical description of static images are considered. In applications of analytical methods for simple systems and elements, only linear stationary and nonlinear inertialless systems are calculated, and the use of analytical models makes it possible to spend considerably less labor on obtaining a solution than with the use of simulation modeling. However, the random nature of the phenomena occurring in the elements of the system (noises, failures, response time), and external influences, the complexity of the system as a whole and the nonlinearity of the elements make it difficult to compile analytical models. The method of constructing complex images with the help of a combined model is considered and the scope of analytical models in the part of processing continuous images is defined.
Pages: 65-68
References

 

  1. Kazennov G.G. Osnovy postroenija SAPR i ASTPP. 1989.
  2. Norenkov I.P. Informacionnaja podderzhka naukoemkikh izdelijj. M.: CALS-tekhnologii. 2002.
  3. Prehtt U.K. Cifrovaja obrabotka izobrazhenijj: Per s angl. M.: Mir. 1982. Kn. 2. 480 s.
  4. Ermakov S.M., Mikhajjlov G.A. Kurs statisticheskogo modelirovanija. M.: Nauka. 1976. 319 s.
  5. Fukunaga K. Vvedenie v statisticheskuju teoriju raspoznovanija obrazov: Per.s angl. M.: Nauka. 1979. 368 s.
  6. Egorova E.V. Mnogourovnevaja fraktalnaja model dlja kharakteristiki obektov // Nelinejjnyjj mir. 2014. T. 12. № 6. S. 32-35.