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Ellipse Extraction via Gradient Direction in the Hough Transform

Record type: Conference or Workshop Item (Other)

Detecting ellipses is an important computer vision task. In order to overcome the excessive time and storage requirements associated with the Hough transform, some techniques decompose the required parameter space into several sub-spaces. The decomposition is achieved by using geometric constraints which define relative positions between a set of points. This paper shows how positional constraints can be avoided by using the local properties of the position function to decompose the parameter space. This decomposition requires the combination of a pair of edge points and their gradient direction. The decomposition is used to extract ellipses in synthetic and real images.

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Citation

Aguado, A.S., Montiel, M.E. and Nixon, M.S. (1995) Ellipse Extraction via Gradient Direction in the Hough Transform At Proc IEE 5th International Conference on Image Processing and its Applications. , 375--378.

More information

Published date: July 1995
Additional Information: Organisation: IEE Address: Edinburgh, UK
Venue - Dates: Proc IEE 5th International Conference on Image Processing and its Applications, 1995-07-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250378
URI: http://eprints.soton.ac.uk/id/eprint/250378
PURE UUID: 23afca60-e91e-494b-bc39-7f07fc374ff9

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:42

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Contributors

Author: A.S. Aguado
Author: M.E. Montiel
Author: M.S. Nixon

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