New characterizations of minimum spanning trees and of saliency maps based on quasi-flat zones

International audience We study three representations of hierarchies of partitions: dendrograms (direct representations), saliency maps, and minimum spanning trees. We provide a new bijection between saliency maps and hierarchies based on quasi-flat zones as used in image processing and characterize...

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Bibliographic Details
Main Authors: Cousty, Jean, Najman, Laurent, Kenmochi, Yukiko, Guimarães, Silvio
Other Authors: Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Audio-visual Information Processing Lab Sao Gabriel (VIPLAB), Pontifical Catholic University of Minas Gerais Belo Horizonte, CAPES/PVE 064965/2014-01, CAPES/COFECUB 592/08, Benediktsson, J.A.; Chanussot, J.; Najman, L.; Talbot, ANR-10-BLAN-0205,KIDICO,Intégration des connaissances pour la convolution discrète, la segmentation et la reconstruction d'informations dans les images digitales(2010)
Format: Conference Object
Language:English
Published: HAL CCSD 2015
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-01148958
https://hal.archives-ouvertes.fr/hal-01148958/document
https://hal.archives-ouvertes.fr/hal-01148958/file/JC.pdf
https://doi.org/10.1007/978-3-319-18720-4_18
Description
Summary:International audience We study three representations of hierarchies of partitions: dendrograms (direct representations), saliency maps, and minimum spanning trees. We provide a new bijection between saliency maps and hierarchies based on quasi-flat zones as used in image processing and characterize saliency maps and minimum spanning trees as solutions to constrained minimization problems where the constraint is quasi-flat zones preservation. In practice, these results form a toolkit for new hierarchical methods where one can choose the most convenient representation. They also invite us to process non-image data with morphological hierarchies.