Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31417
Title: New generalized Hough transform for the detection of irregular objects
Authors: Ser, PK
Siu, WC 
Issue Date: 1995
Publisher: Academic Press Inc.
Source: Journal of visual communication and image representation, 1995, v. 6, no. 3, p. 256-264 How to cite?
Journal: Journal of Visual Communication and Image Representation 
Abstract: In this paper, we introduce a new generalized Hough transform for the recognition of nonanalytic objects in a 2-D image. The main idea of our approach is to use pairs of boundary points with the same gradient angle to derive some rotation-invariant parameters to effect the fast Hough transform. Each voting to the Hough domain is contributed by a pair of edge pixels with the same gradient angle. The primary obstacle to using the Hough techniques, a large memory requirement, is overcome by our new voting approach. The conventional 4-D Hough domain is significantly reduced to a 2-D domain. This approach provides an easy method for determining the parameters of the object in question and an extremely effective solution for eliminating false votes in the transform.
URI: http://hdl.handle.net/10397/31417
ISSN: 1047-3203
DOI: 10.1006/jvci.1995.1022
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