Ellipse Extraction via Gradient Direction in the Hough Transform

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 , 375--378.


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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Organisation: IEE Address: Edinburgh, UK
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 250378
Accepted Date and Publication Date:
July 1995Published
Date Deposited: 04 May 1999
Last Modified: 31 Mar 2016 13:50
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250378

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