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Issue No.04 - April (1998 vol.20)
pp: 396-400
ABSTRACT
<p><b>Abstract</b>—This paper compares the Hough Transform and the UpWrite for the detection of lines, circles, and ellipses. Both ideal and noisy images are tested. The UpWrite is found to be more robust for images containing perturbation noise. For ideal images and images with speckle noise, the results are found to depend on the complexity of the object being detected, with more complex objects favoring the UpWrite. A program allowing the reader to experiment with these algorithms can be found at the following World Wide Web address: <url>http://ciips.ee.uwa.edu.au/Papers/Journal_Papers/1998/02/Index.html</url>.</p>
INDEX TERMS
Hough transform, probabilistic Hough transform, randomized Hough transform, hierarchical Hough transform, UpWrite.
CITATION
Robert A. McLaughlin, Michael D. Alder, "The Hough Transform Versus the UpWrite", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.20, no. 4, pp. 396-400, April 1998, doi:10.1109/34.677267
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