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Improving ellipse detection using a fast graphical method

Elmowafy, O.M., Fairhurst, Michael (1999) Improving ellipse detection using a fast graphical method. Electronics Letters, 35 (2). pp. 135-137. ISSN 0013-5194. (doi:10.1049/el:19990095) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:17311)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1049/el:19990095

Abstract

Ellipse detection is an important task in image analysis as ellipse shapes occur commonly in many types of scene. A fast graphical ellipse detection (FGED) algorithm is proposed to overcome the substantial time and storage requirements associated with common voting algorithms. The algorithm is demonstrated on both synthetic and real world images. It is found to be fast, memory efficient and accurate.

Item Type: Article
DOI/Identification number: 10.1049/el:19990095
Subjects: Q Science
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: M. Nasiriavanaki
Date Deposited: 01 Jul 2009 07:15 UTC
Last Modified: 16 Nov 2021 09:55 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/17311 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

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