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Proceedings Paper

Deformable templates for circle recognition
Author(s): Lucian Muresan; R. Muresan; Gennadii A. Ososkov
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Paper Abstract

An algorithm for the circle recognition using deformable templates was carried out and its performances were studied. The developed technique was explored in a number of different situations ranging from sets of simulated circles to real data obtained in a lead-gold interactions from the RICH detectors used in CERES/NA45 experiment. A special study was devoted to track finding problem for a vertex detector. Our technique with reasonable modification allows to recognize tracks and estimate their parameters on high multiplicity and background conditions. Results show the satisfactory robustness of our algorithm to background contaminations. It can be used in many data handling problems that appear in high energy physics like Cherenkov ring recognition and track reconstruction.

Paper Details

Date Published: 4 April 1997
PDF: 11 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271536
Show Author Affiliations
Lucian Muresan, Joint Institute for Nuclear Research (Russia) and Institute for Physical Chemistry (Romania)
R. Muresan, Joint Institute for Nuclear Research (Russia) and IFIN (Romania)
Gennadii A. Ososkov, Joint Institute for Nuclear Research (Russia)

Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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