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The localization performance measure of edge detectors is addressed. A one-dimensional formulation of the problem is considered. A linear space-invariant filter is used for the detection. The locations of local maxima in the thresholded output of the filter are declared to be the edges. The limitations of conventional performance measures are shown, and a localization performance measure for edge detection is suggested. This performance measure is based on the theory of zero-crossings of stochastic processes. It is shown that the derivative of a Gaussian is the optimal edge detector for the measure
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:12
,
Issue:
12
)
Date of Publication: Dec 1990
- Page(s):
- 1186 - 1190
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 3868800
- Digital Object Identifier :
- 10.1109/34.62607
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Dec 1990
- Sponsored by :
- IEEE Computer Society
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