Aguado, A.S., Montiel, M.E. and Nixon, M.S.
Ellipse Extraction via Gradient Direction in the Hough Transform
At Proc IEE 5th International Conference on Image Processing and its Applications.
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.
Conference or Workshop Item
||Organisation: IEE Address: Edinburgh, UK
|Venue - Dates:
||Proc IEE 5th International Conference on Image Processing and its Applications, 1995-07-01
||Southampton Wireless Group
||04 May 1999
||18 Apr 2017 00:22
|Further Information:||Google Scholar|
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