А.V. Bogoslovsky – Dr.Sc. (Eng.), Professor, Honored Scientist of RF,
Department «Mathematics», MTSC Air Forces «MAA named professor N.E. Zhukovsky and Y.A. Gagarin» (Voronezh) E-mail: abvngb@yandex.ru
А.V. Ponomarev – Ph.D. (Eng.), Associate Professor,
MTSC Air Forces «MAA named professor N.E. Zhukovsky and Y.A. Gagarin» (Voronezh) E-mail: cycloida@mail.ru
I.V. Zhigulina – Ph.D. (Eng.), Associate Professor, Professor,
Department «Mathematics», MTSC Air Forces «MAA named professor N.E. Zhukovsky and Y.A. Gagarin» (Voronezh) E-mail: ira_zhigulina@mail.ru
Computer vision systems based on models of the human visual system do not take into account the stage of information processing on the retina. The retina, together with the mechanism of involuntary movements of the axes of the eyes, form a powerful system for processing information arriving through the visual channel.
The aim of the article is to develop an image coding method by fixing the parameters of the contour composition of objects based on the use of detectors fields in a special mode of operation.
The paper discusses biologically similar image processing methods in which detectors fields are applied, which ensure the selection of the contour composition of the image and the reduction of its dimension. A method of image coding based on the use of detectors fields in the jump mode – saccade is proposed. Situations requiring the use of jumps of various amplitudes, like large and small saccades of the visual analyzer, are explained. The operation of the method is illustrated on test and real images. The result of processing is a coded image containing characteristic points of the brightness boundaries, which are described by the minimum number of parameters. It is shown that image processing by the detectors field in saccade mode allows reducing the amount of data required for further processing.
- Smit K.Yu.M. Biologiya sensornykh sistem. M.: BINOM. Laboratoriya znaniy. 2013. [in Russian]
- Yarbus A.L. Rol' dvizheniya glaz v protsesse zreniya. M.: Nauka. 1965. [in Russian]
- Ditchburn R.W. Eye-Movements and Visual Perception. New York: Clarendon (Oxford University Press). 1973.
- Steinman R.M, Haddad G.M., Skavenski A.A., Wyman D. Miniature eye movment. Science. V. 181. P. 810–819.
- Hilch J., Hylton R. The spatial resolution capacity of human fovea. Vision Res. 24. 1984. P. 347–356.
- Lebedev D.G. Modelirovanie nekotorykh funktsiya zreniya cheloveka. Biofizika. 1980, T. 25. V. 1. S. 153-158. [in Russian] 7. Lebedev D.G. Analiz raboty setchatki, vydelyayushchey konturnyy signal. Biofizika. 1981. T. 26. V. 5. S. 860–863. [in Russian]
- Wilson H.R., Bergen J.R. A Four Mechanism Model for Threshold Spatial Vision. Vision Research. 1979. V. 19. P. 19–32.
- Harris M.G. The Perception of Moving Stimuli. A Model of Statiotemporal Coding in Human Vision. Vision Research. 1986. V. 26. № 8. P. 1281–1287.
- Ponomarev A.V., Bogoslovskiy A.V., Zhigulina I.V. Detektornye polya. Radiotekhnika. 2018. № 7. S. 129–136. [in Russian]
- Ponomarev A.V., Bogoslovskiy A.V., Zhigulina I.V. Model' dreyfa detektornogo polya. Radiotekhnika. 2018. № 11. S. 16–20. [in Russian]
- Bogoslovskiy A.V., Ponomarev A.V., Zhigulina I.V. Identifikatsiya granits ob"ektov na osnove modeli dreyfa detektornogo polya. Radiotekhnika. 2018. № 11. S. 21–25. [in Russian]
- Gel'mgol'ts G. O zrenii cheloveka. Noveyshie uspekhi teorii zreniya. M.: Librokom. 2011. [in Russian]
- Kh'yubel D. Glaz, mozg, zrenie. M.: Mir. 2003. [in Russian]
- Kh'yubel D., Vizel T. Mozg i zritel'noe vospriyatie. M.: Institut komp'yuternykh issledovaniy 2012. [in Russian]
- Shul'govskiy V.V. Osnovy neyrofiziologii. M.: Aspekt Press 2000. [in Russian]