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.

Авторы
Номер выпуска
1
Язык
English
Страницы
135-142
Статус
Published
Том
44
Год
2005
Организации
  • 1 Peoples Friendship University, ul. Miklukho-Maklaya 6, Moscow, 117198, Russian Federation
Ключевые слова
Algorithms; Classification (of information); Identification (control systems); Image analysis; Probability; Problem solving; Real time systems; Contour functions; Geometric correlation (GC); Noise distortions; Object recognition
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