On methods of improvement of the identification quality of graphical objects in geometric correlation methods

Methods of geometric correlation allow one to identify objects that are invariant under translation, scaling, and rotation. Theoretically, these methods must not depend on the shape of objects recognized. However, their application in real conditions has revealed several factors that affect the recognition quality including the dependence on the shape, which has to be taken into account. In this paper, the reasons for raising such factors and methods for eliminating their effect are considered. Copyright © 2005 by Pleiades Publishing, Inc.

Authors
Number of issue
3
Language
English
Pages
379-388
Status
Published
Volume
44
Year
2005
Organizations
  • 1 Peoples' Friendship University, ul. Miklukho-Maklaya 6, Moscow, 117198, Russian Federation
Keywords
Approximation theory; Computer software; Correlation methods; Mathematical operators; Probability density function; Problem solving; Contour functions (CF); Geometric correlation methods; Graphical objects; Identification methods; Object recognition
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/3485/
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