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) |
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