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A statistical approach to multi-scale edge detection

✍ Scribed by Scott Konishi; Alan Yuille; James Coughlan

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
447 KB
Volume
21
Category
Article
ISSN
0262-8856

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✦ Synopsis

We propose a statistical approach to combining edge cues at multiple scales using data driven probability distributions. These distributions are learnt on the Sowerby and South Florida datasets which include the ground truth positions of edges. We evaluate our results using Chernoff information and conditional entropy. Our results demonstrate the effectiveness of multi-scale processing and validate previous heuristics such as coarse-to-fine edge tracking.

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