Ellipse Extraction via Gradient Direction in the Hough Transform
Ellipse Extraction via Gradient Direction in the Hough Transform
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.
375--378
Aguado, A.S.
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Montiel, M.E.
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Nixon, M.S.
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July 1995
Aguado, A.S.
ad7e99c5-47ab-4f88-849a-c6e6d77e4200
Montiel, M.E.
4aefa43d-aeb9-4151-83f5-31fbab5664ba
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Aguado, A.S., Montiel, M.E. and Nixon, M.S.
(1995)
Ellipse Extraction via Gradient Direction in the Hough Transform.
Proc IEE 5th International Conference on Image Processing and its Applications.
.
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Conference or Workshop Item
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Abstract
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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Ellipse%20detection%20via%20gradient%20direction%20in%20the%20hough%20transform.pdf
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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
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Date deposited: 04 May 1999
Last modified: 15 Mar 2024 02:34
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Contributors
Author:
A.S. Aguado
Author:
M.E. Montiel
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