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Proceedings Paper

Planar Ohlect Recognition By The Computer Vision Method
Author(s): H Cipovic; D Milivojevic; Z Kajmakovic
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Paper Abstract

An approach to pattern recognition applying computer vision system after the method of characteristic parameters such as perimeter, area, number of holes, maximum and minimum moment of inertia, maximum, minimum and mean radius and vector of holes is presented. All such parameters are computed by the aid of preselected characteristic contour points. The position and orientation of objects are also determined. Nearest neighbour method is applied for identification.

Paper Details

Date Published: 16 February 1984
PDF: 8 pages
Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); doi: 10.1117/12.939218
Show Author Affiliations
H Cipovic, Energoinvest-IRCA (Yugoslavia)
D Milivojevic, Energoinvest-IRCA (Yugoslavia)
Z Kajmakovic, Energoinvest-IRCA (Yugoslavia)

Published in SPIE Proceedings Vol. 0449:
Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls
David P. Casasent; Ernest L. Hall, Editor(s)

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