Journal
IMAGE AND VISION COMPUTING
Volume 21, Issue 1, Pages 37-48Publisher
ELSEVIER
DOI: 10.1016/S0262-8856(02)00131-2
Keywords
Bayesian inference; edge detection; multi-scale processing; empirical evaluation
Ask authors/readers for more resources
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. (C) 2002 Elsevier Science B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available