HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles


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.
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

Contributor : Nicolas Passat Connect in order to contact the contributor
Submitted on : Friday, May 31, 2019 - 3:29:24 PM
Last modification on : Monday, April 4, 2022 - 9:28:20 AM


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



Pierre Cettour-Janet, Clément Cazorla, Vaïa Machairas, Quentin Delannoy, Nathalie Bednarek, et al.. Watervoxels. Image Processing On Line, IPOL - Image Processing on Line, 2019, 9, pp.317-328. ⟨10.5201/ipol.2019.250⟩. ⟨hal-02004228v2⟩



Record views


Files downloads