Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
532926 | Pattern Recognition | 2006 | 22 Pages |
Abstract
The main goal of this work is to compare pyramidal structures proposed to solve segmentation tasks. Segmentation algorithms based on regular and irregular pyramids are described, together with the data structures and decimation procedures which encode and manage the information in the pyramid. In order to compare the different segmentation algorithms, we have employed three types of quality measurements: the shift variance measure, the FF function and the QQ function.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
R. Marfil, L. Molina-Tanco, A. Bandera, J.A. RodrÃguez, F. Sandoval,