Image segmentation using dense and sparse hierarchies of superpixels

Autor: Felipe Lemes Galvão, Alexandre X. Falcão, Silvio Jamil Ferzoli Guimarães

Publikováno v: Pattern Recognition
Pattern Recognition, Elsevier, 2020, 108, pp.107532. ⟨10.1016/j.patcog.2020.107532⟩

International audience; We investigate the intersection between hierarchical and superpixel image segmentation. Two strategies are considered: (i) the classical region merging, that creates a dense hierarchy with a higher number of levels, and (ii) t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10c2a2cc43489aa146fc69ee3e274ee5
https://doi.org/10.1016/j.patcog.2020.107532

Generalized Map Pyramid for Multi-level 3D Image Segmentation

Autor: Carine Grasset-Simon, Guillaume Damiand

Publikováno v: Lecture Notes in Computer Science
13th International Conference on Discrete Geometry for Computer Imagery (DGCI 2006)
13th International Conference on Discrete Geometry for Computer Imagery (DGCI 2006), Oct 2006, Szeged, Hungary. pp.530-541, ⟨10.1007/11907350_45⟩
Scopus-Elsevier
Discrete Geometry for Computer Imagery ISBN: 9783540476511
DGCI

International audience; Graph pyramids are often used to represent an image with various levels of details. Generalized pyramids have been recently defined in order to deal with images in any dimension. In this work, we show how to use generalized py

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::476568cb8e4381aa902566127613388b
https://hal.archives-ouvertes.fr/hal-01511731/document

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