Methods and algorithms for finding central symmetry in binary images
Authors
Nikita Aleksandrovich Lomov
was born in 1992. In 2015 graduated from Lomonosov Moscow State Univer-sity
as a specialist in applied mathematics and computer science. In 2020 defended the Ph.D. thesis on
"Morpho-logical descriptors of wariable-width objects in digital images". He is now a research scientist
in FRC CSC RAS and a senior research scientist in Tula State University. Nikita Lomov is an investigator of
several grants of the Russian Science Foundation, Russian Fund for Basic Research and the
Ministry of Education and Science of Rus-sian Federation. Research interests:
computer vision, image processing, computational geometry, shape analysis, medial representations.
He is the author of more than 20 scientific papers and a number of applied software packages.
Oleg Sergeevich Seredin
holds a Ph.D. in Theoretical Foundations of Computer Science from
the Computing Center of the Russian Academy of Sciences in Moscow,
with his thesis on Methods and Algorithms of Featureless Pattern
Recognition completed in 2001. Currently, he is an Associate Professor
at the School of Applied Mathe-matics and Computer Science,
Tula State University (TSU), and is a Leading Researcher at the
Laboratory of Cognitive Technologies and Simulating Systems, TSU.
His research interests include data mining, pattern recog-nition,
machine learning, signal and image analysis, visual representation of
multidimensional data, and statisti-cal methods for decision making.
Prof. Seredin has served on the program committee of many conferences,
including CloudCom, AIST, Graphi-Con, VISAPP, PSBB, PRIB, and MaDaIn.
He is also a member of the reviewer board for several journals, such as Sensors,
Computer Optics, SN Computer Science Journal, IEEE Signal Processing Letters,
and Applied Science. He has been the supervisor of several research projects
funded by the grants from the Russian Science Founda-tion and the Russian Fund
for Basic Research, and international grants. He has worked as a visiting researcher
at Rutgers University and National Taipei University of Technology. Prof. Seredin
has authored more than 100 sci-entific papers in refereed journals and conference
proceedings on machine learning, pattern recognition, and computer vision. He is a
member of the International Association for Pattern Recognition (IAPR).
Daniil Viktorovich Liakhov
is a student of Tula State University, specialty of
informational systems and technologies and assistant-researcher at the
Laboratory of Cognitive Technologies and Simulating Systems of Tu-la
State University. Now he is involved as researcher to the grant
project of Russian Science Foundation.
Olesia Aleksandrovna Kushnir
received the Ph.D. Degree in Engineering and
Technologies from Tula State Uni-versity. Ph.D. Thesis:
“Methods and Algorithms for Binary Images Matching Based on
Skeletonization” (2018). Now she is Assistant Professor at the
Institute of Applied Mathematics and Computer Science, Tula State
University, and Senior Researcher at Laboratory of Cognitive Technologies
and Simulating Systems, Tula State University. Her scien-tific interests
are signal and image analysis, shape analysis, data mining, pattern
recogni-tion, machine learning. Olesia Kushnir was principal investigator
of a grant of the Russian Fund for Basic Re-search, and takes part in
grants of other researchers. She worked as visiting scientist at
Institute of Computer Vi-sion and applied Computer Sciences (IBaI),
Leipzig, Germany, and National Taipei University of Technology.
She was a student in International Computer Vision Summer School (ICVSS),
Sicily, Italy. She has published more than 40 scientific papers in
refereed journals, hand-books, and conference proceedings in
the areas of com-puter vision, machine learning, pattern recognition.
Publications about central symmetry
Seredin, O., Liakhov, D., Kushnir, O., & Lomov, N. (2022).
Jaccard Index-Based Detection of Order 2 Rota-tional Quasi-Symmetry
Focus for Binary Images. Pattern Recognition and Image Analysis, 32(3), 672-681.
Lomov, N.; Seredin, O.; Kushnir, O. and Liakhov, D. (2023).
Search for Rotational Symmetry of Binary Imag-es via Radon Transform and Fourier Analysis.
In Pro-ceedings of the 18th International Joint Conference on Computer Vision,
Imaging and Computer Graphics The-ory and Applications - Volume 4: VISAPP, p.
280-289.D. Dimitrov, C. Knauer, K. Kriegel, G. Rote. Bounds on the quality of
the PCA bounding boxes. Computational Geometry, Vol. 42 (4), pp. 772-789, 2009.
DOI: 10.1016/j.comgeo.2008.02.007.
Lomov NA, Seredin OS, Liakhov DV, Kushnir OA. Constraints for Jaccard
Index-Based Rotational Symmetry Focus Position in Binary Images.
Computer Optics 20XX (to be published)