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Vladimir Antonovich Kovalevsky

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Vladimir Antonovich Kovalevsky (born 1927) is a physicist. His research interests include digital geometry, digital topology, computer vision, image processing and pattern recognition.

Vladimir Antonovich Kovalevsky
Владимир Антонович Ковалевский
Born(1927-09-05)September 5, 1927
Kharkiv, Ukrainian SSR
Other namesWladimir Kovalevski
Occupation(s)physicist, mathematician, computer scientist
TitleProf. Dr.
AwardsRecipient Gold medal Allunion Exhibition of National Economy, Moscow, 1964. State Prize, Central Committee of Communist Party of Ukraine, Kiev, 1978.
HonoursListed as a noteworthy mathematician by Marquis Who's Who.
Websitehttp://www.kovalevsky.de

Scientific activity

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Vladimir A. Kovalevsky received his diploma in physics from Kharkiv University (Ukraine) in 1950,[1] his first doctoral degree in technical sciences from the Central Institute of Metrology (Leningrad) in 1957 and his second doctoral degree in computer science from the Institute of Cybernetics of the Academy of Sciences of Ukraine (Kiev) in 1968. From 1961 to 1983 he served as Head of Department of Pattern Recognition at that Institute. In 1983 he moved to the GDR. He worked as teaching professor or as scientific collaborator on universities in Germany[2] (Zentralinstitut für Kybernetik at the ADW, Berlin University of Applied Sciences and Technology, University of Rostock,[3][4] Technische Universität Dresden[5]), USA (University of Pennsylvania, Drexel University), Mexico (National Autonomous University of Mexico), New Zealand (University of Auckland, Manukau Institute of Technology) and Korea (Chonbuk National University).

Over a period of nearly 40 years, Vladimir A. Kovalevsky made many fundamental and pioneering contributions to nearly every area of the above-mentioned fields. The research on digital image analysis (specifically on digital geometry and digital topology) is an important insertion to image processing and image analysis. He developed the statistically founded correlation method of recognizing optical patterns and the department “Pattern Recognition” at the Institute of Cybernetics, Kiew, has constructed in 1968 the optical character reading machine “Chars” implementing this method. The machine could read typed pages with high security.[6][7]

He suggested 1989 using topological knowledge, especially those of abstract cell complexes, in image processing. This has improved the definitions and the processing of boundaries and edges in two- and three-dimensional digital images. Vladimir A. Kovalevsky invented new efficient algorithms for edge detection in color images which can detect edges between subsets of different colors but the same lightness. He suggested efficient algorithms for tracing and encoding boundaries and also new definitions and recognition algorithms for recognizing digital straight segments.[8] Kovalevsky developed as programmer many projects implementing these algorithms.[9][10] The results of his research are described in his monographs.

Publications

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  • Image Pattern Recognition. Springer, 1980, ISBN 978-1-4612-6033-2
  • Finite Topology as Applied to Image Analysis. In: Computer Vision, Graphics and Image Processing, vol. 46 (1989) pp. 141–161
  • Geometry of Locally Finite Spaces. Verlag Dr. Baerbel Kovalevski, Berlin, 2008, ISBN 978-3-9812252-0-4
  • Modern Algorithms for Image Processing. Apress, 2019, ISBN 978-1-4842-4236-0
  • Image Processing with Cellular Topology. Springer, 2021, ISBN 978-981-16-5771-9

References

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  1. ^ "About the author". Retrieved 10 August 2022.
  2. ^ "SRH Hochschule Berlin". www.researchgate.net.
  3. ^ "Scispace - V. Kovalevsky". Typeset.
  4. ^ "University of Rostock" (in German). Retrieved 15 September 2022.
  5. ^ "TU Dresden, lectures 2007". TU Dresden.
  6. ^ Schlesinger, Michail (2007). "Ключевые моменты становления киевской школы распознавания изображений". www.irtc.org.ua (in Russian). Retrieved 15 September 2022.
  7. ^ Vladimir Kovalevsky (1980), Image Pattern Recognition, Springer Verlag, ISBN 0-387-90440-9
  8. ^ Kovalevskiĭ, V. A. (2021). Image processing with cellular topology. Singapore. ISBN 978-981-16-5772-6. OCLC 1306277103.{{cite book}}: CS1 maint: location missing publisher (link)
  9. ^ Miszalok, Volkmar. "Lecture: Computer Vision, Chapter 1: Digital Topology". www.miszalok.de. Retrieved 15 September 2022.
  10. ^ Kovalevsky, Vladimir (2006). "Axiomatic Digital Topology". Journal of Mathematical Imaging and Vision. 26 (1–2): 41–58. arXiv:1010.0649. doi:10.1007/s10851-006-7453-6. S2CID 459012.
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