Pyramid segmentation algorithms revisited.
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Elsevier
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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 F function and the Q function.
Description
https://v2.sherpa.ac.uk/id/publication/4665
Bibliographic citation
Marfil, R., Molina-Tanco, L., Bandera, A., Rodríguez, J.A., Sandoval, F., PYRAMID SEGMENTATION ALGORITHMS REVISITED. Pattern Recognition. 39 - 8, pp. 1430 - 1451. 2006.












