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Proceedings Paper

Interpreting the radon transform using Prolog
Author(s): Bruce G. Batchelor
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Paper Abstract

The Radon transform is an important method for identifying linear features in a digital image. However, the images which the Radon transform generates are complex and require intelligent interpretation, to identify lines in the input image correctly. This article describes how the images can be pre-processed to make the spots in the Radon transform image more easily identified and describes Prolog programs which can recognize constellations of points in the Radon transform image and thereby identify geometric figures within the input image.

Paper Details

Date Published: 1 March 1992
PDF: 11 pages
Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); doi: 10.1117/12.58807
Show Author Affiliations
Bruce G. Batchelor, Univ. of Wales College of Cardiff (United Kingdom)

Published in SPIE Proceedings Vol. 1615:
Machine Vision Architectures, Integration, and Applications
Bruce G. Batchelor; Michael J. W. Chen; Frederick M. Waltz, Editor(s)

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