Deformable templates for circle recognition

Lucian Muresan; R. Muresan; Gennadii A. Ososkov

doi:10.1117/12.271536

4 April 1997 Deformable templates for circle recognition

Lucian Muresan, R. Muresan, Gennadii A. Ososkov

Proceedings Volume 3077, Applications and Science of Artificial Neural Networks III; (1997) https://doi.org/10.1117/12.271536
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Lucian Muresan, R. Muresan, and Gennadii A. Ososkov "Deformable templates for circle recognition", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271536

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