Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
529521 | Image and Vision Computing | 2008 | 16 Pages |
Abstract
Two new methods are proposed to automatically generate consensus ground truth for real images: Minimean and Minimax methods. These methods and a version of the Yitzhaky and Peli method have been used to provide ground truth for the comparison of edge detection techniques. The developed experiments have revealed that the Minimean consensus method is suitable for the comparison of edge detectors because its results are equivalent to those obtained with artificial or manual ground truth.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
N.L. Fernández-García, A. Carmona-Poyato, R. Medina-Carnicer, F.J. Madrid-Cuevas,