Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
530566 | Pattern Recognition | 2010 | 12 Pages |
Abstract
We study the method of Sun et al. for edge detection based on the Law of Universal Gravity. We analyze the effect of the substitution of the product operation by other triangular norms in the calculation of the gravitational forces. We treat edges as fuzzy sets for which membership degrees are extracted from the resulting gravitational force on each pixel. We consider several prototypical triangular norms and experimentally show that their features determine the kind of edges detected. The new method is tested on the Berkeley Segmentation Dataset, showing to be competitive compared to the Canny method.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
C. Lopez-Molina, H. Bustince, J. Fernandez, P. Couto, B. De Baets,