Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13076
Title: Novel detection of conics using 2-D Hough planes
Authors: Ser, PK
Siu, WC 
Issue Date: 1995
Publisher: IEE
Source: IEE Proceedings : Vision, image and signal processing, 1995, v. 142, no. 5, p. 262-270 How to cite?
Journal: IEE Proceedings: Vision, Image and Signal Processing 
Abstract: The authors present a new approach to the use of the Hough transform for the detection of ellipses in a 2-D image. In the proposed algorithm, the conventional 5-D Hough voting space is replaced by four 2-D Hough planes which require only 90 Kbytes of memory for a 384×256 image. One of the main differences between the proposed transform and other techniques is the way to extract feature points from the image under question. For the accumulation process in the Hough domain, an inherent property of the suggested algorithm is its capability to effect verification. Experimental results from the authors' work on real and synthetic images show that a significant improvement of the recognition is achieved as compared to other algorithms. Furthermore, the proposed algorithm is applicable to the detection of both circular and elliptical objects concurrently.
URI: http://hdl.handle.net/10397/13076
ISSN: 1350-245X
DOI: 10.1049/ip-vis:19952199
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