Improving ellipse detection using a fast graphical method

Elmowafy, O.M. and Fairhurst, Michael (1999) Improving ellipse detection using a fast graphical method. Electronics Letters, 35 (2). pp. 135-137. ISSN 0013-5194. (doi:https://doi.org/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)

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. (Contact us about this Publication)

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
Subjects:	Q Science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculties > Sciences > School of Engineering and Digital Arts
Depositing User:	M. Nasiriavanaki
Date Deposited:	01 Jul 2009 07:15 UTC
Last Modified:	04 Jul 2014 11:07 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/17311 (The current URI for this page, for reference purposes)