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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Optimal Detection of Blurred Edges
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
John A. Robinson, University of York
I develop a variational model for the detection of blurred edges. Though yielding a complicated general solution, the model gives insight into edge detection models previously proposed for step edges. In particular it shows that a previous IIR solution for step edges is correct even in the FIR case, and suggests why operators approximating the first derivative of a gaussian are successful, despite their suboptimality for step edge detection.
Citation:
John A. Robinson, "Optimal Detection of Blurred Edges," icpr, vol. 3, pp.30831, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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