# Watervoxels

Abstract : In this article, we present the $n$-dimensional version of the waterpixels, namely the watervoxels. Waterpixels constitute a simple, yet efficient alternative to standard superpixel paradigms, initially developed in the field of computer vision for reducing the space cost of input images without altering the accuracy of further image processing / analysis procedures. Waterpixels were initially proposed in a 2-dimensional version. Their extension to 3-dimensions---and more generally $n$-dimensions---is however possible, in particular in the Cartesian grid. Indeed, waterpixels mainly rely on a seeded watershed transformation applied on a saliency map defined as the linear combination of a gradient map and a distance map. We propose a description of the algorithmics of watervoxels in $n$-dimensional Cartesian grids. We also discuss its parameters and its time cost. A source code for 2- and 3-dimensional versions of watervoxels is provided, such as a 2-dimensional demonstrator.
Keywords :
Document type :
Preprints, Working Papers, ...
Domain :
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-02004228
Contributor : Nicolas Passat <>
Submitted on : Friday, February 15, 2019 - 4:52:08 PM
Last modification on : Monday, April 1, 2019 - 2:18:01 PM

### File

Cettour-Janet IPOL 2019.pdf
Files produced by the author(s)

### Identifiers

• HAL Id : hal-02004228, version 1

### Citation

Pierre Cettour-Janet, Clément Cazorla, Vaïa Machairas, Quentin Delannoy, Nathalie Bednarek, et al.. Watervoxels. 2019. 〈hal-02004228〉

Record views