The use of image morphing in medicine

Authors

  • Serhii Pavlov Vinnytsia National Technical University
  • Oleksandr Nykyforovych Romaniuk Vinnytsia National Technical University
  • Serhii Oleksandrovych Romaniuk Ashtar firm

DOI:

https://doi.org/10.31649/1681-7893-2019-38-2-5-9

Keywords:

three-dimensional models, morphing, age-related changes, rhinoplasty triangulation network

Abstract

The question of the use of image morphing in medicine is considered. It is suggested to use morphing for the tasks of rhinoplasty, research, study of the dynamics of human head development. Methods for changing the density of a polygonal network are proposed.

Author Biographies

Serhii Pavlov, Vinnytsia National Technical University

д.т.н., професор, проректор з наукової роботи, професор кафедри біомедичної інженерії

Oleksandr Nykyforovych Romaniuk, Vinnytsia National Technical University

д.т.н., професор, завідувач кафедри програмного забезпечення

Serhii Oleksandrovych Romaniuk, Ashtar firm

к.т.н., директор фірми

References

O.N. Romanyuk and AV Chorny, High-performance methods and means of painting three-dimensional graphic objects. Vinnytsia, Ukraine: UNIVERSUM-Vinnytsia, 2006.

D.A. Diveev, and EG Hose, “Modern Image Transformation Technologies in the Study of Human Perception on the Expression of His Face,” Experimental Psychology, Volume 2, No. 4, p. 101-110, 2009

“Facial plasticity: types, features of procedure”, [Electronic resource]. Available at: https://www.kp.ru/guide/plastika-litsa.html. Release Date: Sep 18, 2017.

V.M, Sokolov and DS Avetikov, “Computer Prediction and Possibilities of Cosmetic Rhinoplasty in External Nose Deformities”, Topical Issues in Modern Medicine. Vol. 2, No. 2 (4), p. 71-73, 2002.

“Head Size and Child Age: Norms” [Electronic resource]. Available: https://nashidetki.net/vospitanie-detej/razmer-golovy-rebenka-po-vozrastu.html. Date of issue: Jan. 09, 2019. Received February 12, 2019.

Olexander N. Romanyuk; Sergii V. Pavlov; Olexander V. Melnyk; Sergii O. Romanyuk; Andrzej Smolarz, et al. Method of anti-aliasing with the use of the new pixel model, Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 981617 (December 18, 2015).

S. O. Romanyuk; S. V. Pavlov; O. V. Melnyk. New method to control color intensity for antialiasing. Control and Communications (SIBCON), 2015 International Siberian Conference. - 21-23 May 2015.

N. Romanyuk; S. V. Pavlov; R. Yu. Dovhaliuk; N. P. Babyuk; M. D. Obidnyk, et al. Microfacet distribution function for physically based bidirectional reflectance distribution functions, Proc. SPIE 8698, Optical Fibers and Their Applications 2012, 86980L (January 11, 2013).

Pavlov S. V. Information Technology in Medical Diagnostics //Waldemar Wójcik, Andrzej Smolarz, July 11, 2017 by CRC Press - 210 Pages. 10. Wójcik W., Pavlov S., Kalimoldayev M. Information Technology in Medical Diagnostics II. London: (2019). Taylor & Francis Group, CRC Press, Balkema book. – 336 Pages.

Sergey I. Vyatkin, Sergii A. Romanyuk, Sergii V. Pavlov, and etc. Using lights in a volume-oriented rendering // Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104450U;

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Published

2020-03-12

How to Cite

[1]
S. Pavlov, O. N. Romaniuk, and S. O. Romaniuk, “The use of image morphing in medicine”, Опт-ел. інф-енерг. техн., vol. 38, no. 2, pp. 5–9, Mar. 2020.

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Section

OptoElectronic/Digital Methods and Systems for Image/Signal Processing

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