The tree of shapes of an image

Coloma Ballester; Vicent Caselles; P. Monasse

ESAIM: Control, Optimisation and Calculus of Variations (2010)

  • Volume: 9, page 1-18
  • ISSN: 1292-8119

Abstract

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In [CITE], Kronrod proves that the connected components of isolevel sets of a continuous function can be endowed with a tree structure. Obviously, the connected components of upper level sets are an inclusion tree, and the same is true for connected components of lower level sets. We prove that in the case of semicontinuous functions, those trees can be merged into a single one, which, following its use in image processing, we call “tree of shapes”. This permits us to solve a classical representation problem in mathematical morphology: to represent an image in such a way that maxima and minima can be computationally dealt with simultaneously. We prove the finiteness of the tree when the image is the result of applying any extrema killer (a classical denoising filter in image processing). The shape tree also yields an easy mathematical definition of adaptive image quantization.

How to cite

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Ballester, Coloma, Caselles, Vicent, and Monasse, P.. "The tree of shapes of an image." ESAIM: Control, Optimisation and Calculus of Variations 9 (2010): 1-18. <http://eudml.org/doc/90691>.

@article{Ballester2010,
abstract = { In [CITE], Kronrod proves that the connected components of isolevel sets of a continuous function can be endowed with a tree structure. Obviously, the connected components of upper level sets are an inclusion tree, and the same is true for connected components of lower level sets. We prove that in the case of semicontinuous functions, those trees can be merged into a single one, which, following its use in image processing, we call “tree of shapes”. This permits us to solve a classical representation problem in mathematical morphology: to represent an image in such a way that maxima and minima can be computationally dealt with simultaneously. We prove the finiteness of the tree when the image is the result of applying any extrema killer (a classical denoising filter in image processing). The shape tree also yields an easy mathematical definition of adaptive image quantization. },
author = {Ballester, Coloma, Caselles, Vicent, Monasse, P.},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
keywords = {Image representation; mathematical morphology; tree structure; level sets.; image representation; level sets},
language = {eng},
month = {3},
pages = {1-18},
publisher = {EDP Sciences},
title = {The tree of shapes of an image},
url = {http://eudml.org/doc/90691},
volume = {9},
year = {2010},
}

TY - JOUR
AU - Ballester, Coloma
AU - Caselles, Vicent
AU - Monasse, P.
TI - The tree of shapes of an image
JO - ESAIM: Control, Optimisation and Calculus of Variations
DA - 2010/3//
PB - EDP Sciences
VL - 9
SP - 1
EP - 18
AB - In [CITE], Kronrod proves that the connected components of isolevel sets of a continuous function can be endowed with a tree structure. Obviously, the connected components of upper level sets are an inclusion tree, and the same is true for connected components of lower level sets. We prove that in the case of semicontinuous functions, those trees can be merged into a single one, which, following its use in image processing, we call “tree of shapes”. This permits us to solve a classical representation problem in mathematical morphology: to represent an image in such a way that maxima and minima can be computationally dealt with simultaneously. We prove the finiteness of the tree when the image is the result of applying any extrema killer (a classical denoising filter in image processing). The shape tree also yields an easy mathematical definition of adaptive image quantization.
LA - eng
KW - Image representation; mathematical morphology; tree structure; level sets.; image representation; level sets
UR - http://eudml.org/doc/90691
ER -

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