Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33600
Title: Invariant Hough transform with matching technique for the recognition of non-analytic objects
Authors: Ser, PK
Siu, WC 
Issue Date: 1993
Publisher: IEEE
Source: Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, 1993, v. 5, p. V-9-V-12 How to cite?
Journal: Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing 
Abstract: By making use of the Hough and the contour sequence matching technique, we suggest a new approach to solve the problem of large memory requirement of the Hough space. For the conventional Hough algorithm, it is necessary to take a four-dimensional space for the recognition of an irregular pattern, while in our proposed algorithm, we replace the Hough space with a two-dimensional domain. The orientation of a possible object is determined by comparing the contour sequence of the object and that of the prototype. The reduction of the scaling and orientation parameters in the new Hough space is also able to simplify the peak searching process to verify the results. In order to enhance the accuracy of recognition rate, we also suggest a new peak searching technique to eliminate false peaks in the Hough space.
Description: IEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5), Minneapolis, MN, USA, 27-30 April 1993
URI: http://hdl.handle.net/10397/33600
ISBN: 0-7803-0946-4
ISSN: 0736-7791
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