Pyramid segmentation algorithms revisited

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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. 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Rebeca Marfil, Luis Molina-Tanco, Antonio Bandera,

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PR 2006 | Pyramidal Structures | Segmentation Tasks | Shift Variance Measure |

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Added	14 Dec 2010
Updated	14 Dec 2010
Type	Journal
Year	2006
Where	PR
Authors	Rebeca Marfil, Luis Molina-Tanco, Antonio Bandera, Juan Antonio Rodríguez, Francisco Sandoval Hernández

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Pyramid segmentation algorithms revisited

PR 2006 | Pyramidal Structures | Segmentation Tasks | Shift Variance Measure |

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