On Recognition of Graphs and Images
- Авторы: Leontiev V.K.1, Gordeev E.N.2
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Учреждения:
- Computer Science and Control Federal Research Center
- Bauman Moscow State Technical University
- Выпуск: Том 28, № 4 (2018)
- Страницы: 737-746
- Раздел: Representation, Processing, Analysis, and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/195496
- DOI: https://doi.org/10.1134/S1054661818040235
- ID: 195496
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Аннотация
This paper discusses the possibility of using the classical results of graph theory related to reconstruction and recognition of graphs and their characteristics in the field of image recognition. Two heuristic approaches are proposed to estimate the adequacy of object images. Various aspects of the problem of graph description (representation) with the use of graph invariants are analyzed. New classes of invariants that can be used to construct the heuristics mentioned above are introduced and investigated. In addition, some statements concerning two aspects of the problem—the formation of complex invariants taking into account the basic and functional dependences among invariants—are proved.
Об авторах
V. Leontiev
Computer Science and Control Federal Research Center
Автор, ответственный за переписку.
Email: vkleontiev@yandex.ru
Россия, Vavilova str. 44, Building 2, Moscow, 119333
E. Gordeev
Bauman Moscow State Technical University
Email: vkleontiev@yandex.ru
Россия, 2-ya Baumanskaya ul. 5/1, Moscow, 105005
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