Cybernetics And Systems Analysis logo
Editorial Board Announcements Abstracts Authors Archive
Cybernetics And Systems Analysis
International Theoretical Science Journal
-->

UDC 159.93
V.P. Boyun1


1 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

vboyun@gmail.com

THE ISSUES REGARDING THE ORGANIZATION OF THE HUMAN RETINA:
A CYBERNETIC APPROACH

Abstract. The issues in the organization of the human retina are analyzed from the point of view of cybernetics. In particular, hypotheses are formulated regarding the conditions of the concentric organization of receptive fields, the extraction of informative features, the possibilities of restructuring the receptive fields and their limitations, the transmission of information through ganglion cells with its binding to the location on the retina, as well as regarding the peculiarities of the visual system in different modes. The conditions for the correct operation of on- and off-centers of receptive fields based on bipolars with a cone as the central zone of excitation and the surrounding rods as an inhibition zone, organized with the help of horizontal cells for the on-center, and vice versa — for the off-center, are determined. The conditions for the extraction of informative features based on on- and off-centers in the form of point values of brightness differences between neighboring elements are substantiated. The rigid organization of the receptive fields of ganglion cells and the limited possibilities of its reconstruction are substantiated. A hypothesis on the organization of the transmission of information about brightness differences from bipolar cells through ganglion cells under the control of amacrine cells with reference to the location on the retina is proposed. A hypothesis on the continuous perception of the image by the retina receptors and the discrete perception of information by the brain is formulated. The features of the visual system in the modes of contemplation, searching for an object in an image, tracking it, and detailed examination and recognition are considered.

Keywords: peripheral retina, fovea, rods and cones, horizontal, bipolar, amacrine and ganglion cells (neurons), on- and off-centers, receptive fields, concentric organization, neural network, informative features, information transmission, modes of functioning of the visual system.


full text

REFERENCES

  1. Glushkov V.M. Cybernetics. Issues of theory and practice [in Russian]. Moscow: Science, 1986. 476 p.

  2. Boyun V.P. Dynamic Information Theory. Fundamentals and Applications [in Russian]. Kyiv: V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, 2001. 326 p.

  3. Hubel D. Eye, brain, vision [in Russian]. Moscow: Mir, 1990. 239 p.

  4. Shiffman H.R. Feeling and perception [Russian translation]. SPb: Peter, 2003. 928 p.

  5. Lauinger N. The human eye: An intelligent optical sensor. Toronto: IFSA, 2-14. 410 p. URL: http://www.sensorsportal.com/HTML/BOOKSTORE/Human_Eye.htm .

  6. Kolb H. How the retina works: Much of the construction of an image takes place in the retina itself through the use of specialized neural circuits. American Scientist. 2003. Vol. 91, N 1. Р. 28–35.

  7. Supin A.Ya. Neural mechanisms of visual analysis [in Russian]. Moscow: Nauka, 1974. 180 p.

  8. Shevelev I.A. neurons in the visual cortex. Adaptability and dynamics of receptive fields [in Russian]. Moscow: Nauka, 1984. 220 p.

  9. Verblin F., Roska B. The movies in our eyes. Scientific American Magazine. 2007. N 4.

  10. Podvigin N.F., Makarov F.N., Shelepin Yu.E. Elements of the structural and functional organization of the visual-oculomotor system [in Russian]. Leningrad: Nauka, 1986. 230 p.

  11. Boyun V.P. Human vision analyzer as a prototype for building a family of problem-oriented technical vision systems. Proc. of the International Scientific and Technical conference "Artificial intelligence. Intelligent systems II-2010" (September 20-24, 2010, Katsiveli, Ukraine). Katsiveli, 2010. Vol. 1. P. 21–26.

  12. Kubarko A.I., Kubarko N.P. Vision (neurophysiological and neuroophthalmological aspects): in 2 volumes. Vol.1 Sensory functions of vision and their disturbances in CNS disease [in Russian]. Minsk: BSMU, 2007. 210 p.

  13. Kratin Yu.G., Zubkova N.A., Lavrov V.V., Sotnichenko T.S., Fedorova K.P. Visual pathways and brain activation system [in Russian]. Leningrad: Nauka, 1982. 156 p.

  14. Shah S., Levine M.D. Visual information processing in primate cone pathways. I. A model. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics. 1996. Vol. 26, N 2. P. 259–274.

  15. Benoit A., Caplier A., Durette B., Herault J. Using Human Visual System modeling for bio-inspired low level image processing. Computer Vision and Image Understanding. 2010. Vol. 114, Iss. 7. P. 758–773.

  16. Anderson D. Cognitive psychology [Russian translation]. SPb: Peter, 2002. 496 p.

  17. Shelepin Yu.E., Bondarko V.M., Danilova M.V. The design of the foveola and the model of the pyramidal organization of the visual system. Sensornyye sistemy. 1995. N 1. P. 87–97.

  18. Burt P.J. Smart sensing within a pyramid vision machine. IEEE. 1988. Vol. 76, N 8. Р. 175–185.

  19. Boyun V.P. Intelligent selective perception of visual information. Information aspects. Shtuchnyy intelekt. 2011. N 3. P. 16–24.

  20. Boyun V. Intelligent selective perception of visual information in vision systems. Proc. 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Application (IDAACS’2011) (15–17 September 2011, Prague, Czech Republic). Prague, 2011. Vol. 1. P. 412–416.

  21. Boyun V. Bioinspired approaches to the selection and processing of video information. Proc. 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP) (21–25 August 2018, Lviv, Ukraine). Lviv, 2018. P. 498–502. https://doi.org/10.1109/DSMP.2018.8478541.

  22. Gonzalez R., Woods R. Digital image processing [in Russian]. Moscow: Technosphera, 2005. 1072 p.

  23. Forsyth D., Pons J. Computer vision. A modern approach [Russian translation]. Moscow; St. Petersburg; Kyiv: Williams, 2004. 928 p.

  24. Boyun V. The principles of organizing the search for an object in an image, tracking an object and the selection of informative features based on the visual perception of a person. In: Data Stream Mining abd Processing. Babichev S., Peleshko D., Vynokurova O. (Eds.). CCIS. 2020. Vol. 1158. Р. 22–23. URL: https://link.springer.com/chapter/10.1007/978-3-030-61656-4_2.

  25. Marr D.A. Vision: Computational investigation into human representation and processing of visual information. New York: W.H.Freeman and Company, 1982.

  26. Boyun V. Directions of development of intelligent real time video systems. Application and Theory of Computer Technology. 2017. Vol. 2, N 3. P. 48–66. https://doi.org/10.22496/atct.v2i3.65.

  27. Boyun V.P., Voznenko L.O., Malkush I.F. Principles of organization of the human eye retina and their use in computer vision systems. Cybernetics and Systems Analysis. 2019. Vol. 55, N 5. P. 701–713. https://doi.org/10.1007/s10559-019-00181-0.

  28. Boyun V.P. Real-time video systems with elements of artificial intelligence. Visnyk NAN Ukrayiny. 2021. N 12. P. 77–84.

  29. Kirpichnikov A.P. The eye as an intelligent sensor. Datchiki i sistemy. 2009. N 12. P. 63–69.




© 2023 Kibernetika.org. All rights reserved.