On Recognition of Graphs and Images


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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.

作者简介

V. Leontiev

Computer Science and Control Federal Research Center

编辑信件的主要联系方式.
Email: vkleontiev@yandex.ru
俄罗斯联邦, Vavilova str. 44, Building 2, Moscow, 119333

E. Gordeev

Bauman Moscow State Technical University

Email: vkleontiev@yandex.ru
俄罗斯联邦, 2-ya Baumanskaya ul. 5/1, Moscow, 105005

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