physics

Vladimir Antonovich Kovalevsky

Vladimir Antonovich Kovalevsky is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Vladimir Antonovich Kovalevsky rather than just read about it. In short: Vladimir Antonovich Kovalevsky (born 5 September 1927) is a Ukrainian-born German physicist. His research interests include digital geometry, digital topology, computer vision, image processing and pattern recognition.

Key takeaways

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Reference excerpt

Vladimir Antonovich Kovalevsky (born 5 September 1927) is a Ukrainian-born German physicist. His research interests include digital geometry, digital topology, computer vision, image processing and pattern recognition.

Scientific activity Vladimir A. Kovalevsky received his diploma in physics from Kharkiv University (Ukraine) in 1950, 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 (Zentralinstitut für Kybernetik at the ADW, Berlin University of Applied Sciences and Technology, University of Rostock, Technische Universität Dresden), 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. 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. Kovalevsky developed as programmer many projects implementing these algorithms. The results of his research are described in his monographs.

Publications 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

External links Vladimir Antonovich Kovalevsky publications indexed by Google Scholar V. Kovalevsky at dblp computer science bibliography

Worked examples

Example 1 — a first encounter with Vladimir Antonovich Kovalevsky

Start with the simplest possible case. Write down what Vladimir Antonovich Kovalevsky claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Vladimir Antonovich Kovalevsky before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Vladimir Antonovich Kovalevsky ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Vladimir Antonovich Kovalevsky

In research: Vladimir Antonovich Kovalevsky appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Vladimir Antonovich Kovalevsky in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Vladimir Antonovich Kovalevsky is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1927 births, 20th-century German physicists, 20th-century Ukrainian physicists, so understanding it makes those chapters shorter.
In everyday life: Look for Vladimir Antonovich Kovalevsky outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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Frequently asked questions

What is Vladimir Antonovich Kovalevsky in simple terms?

Why does Vladimir Antonovich Kovalevsky matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

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Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Vladimir Antonovich Kovalevsky.