Vladimir Antonovich Kovalevsky (born1927) is a physicist. His research interests includedigital geometry,digital topology,computer vision,image processing andpattern recognition.

Vladimir A. Kovalevsky received his diploma in physics fromKharkiv University (Ukraine) in 1950,^[1] his first doctoral degree in technical sciences from the Central Institute ofMetrology (Leningrad) in 1957 and his second doctoral degree in computer science from the Institute ofCybernetics of theAcademy 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 theGDR. He worked as teaching professor or as scientific collaborator on universities in Germany^[2] (Zentralinstitut für Kybernetik at theADW,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 ondigital image analysis (specifically ondigital geometry anddigital 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.

• 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

• Vladimir Antonovich Kovalevsky publications indexed byGoogle Scholar
• V. Kovalevsky at dblp computer science bibliography

• Living people
• 1927 births
• 20th-century German physicists
• 20th-century Ukrainian physicists
• German topologists

• CS1 German-language sources (de)
• CS1 Russian-language sources (ru)
• CS1 maint: location missing publisher
• Articles with short description
• Short description is different from Wikidata
• Use dmy dates from August 2022
• Articles with hCards