Contour fragment-based identification of graphical objects

The contours of objects detected in real images always contain noise distortions, which reduce the efficiency of the use of contour functions. The methods proposed in the paper are based on identification that uses parts of contours, which allows one to recognize objects that have fragments with considerable distortions or have been partially lost. Copyright © 2005 by Pleiades Publishing, Inc.

Authors
Number of issue
1
Language
English
Pages
135-142
Status
Published
Volume
44
Year
2005
Organizations
  • 1 Peoples Friendship University, ul. Miklukho-Maklaya 6, Moscow, 117198, Russian Federation
Keywords
Algorithms; Classification (of information); Identification (control systems); Image analysis; Probability; Problem solving; Real time systems; Contour functions; Geometric correlation (GC); Noise distortions; Object recognition
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/3527/
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