Hi guys
the program voronoiDiagram gives the vertices of a voronoi decomposition of a set of scattered datapoints. These vertices do, however, extend beyond the rectangular domain containing the datapoints. Does anyone know of a routine/method/program which allows the vertices to extend no further than the boundary of the domain?
I have been trying, in vain, to set up my own routine based on the voronoiDiagram output, but it has become a bit more unmanageable than I had foreseen.
Thanks in advance!

 Risposta accettata

Jakob Sievers
Jakob Sievers il 3 Gen 2012

2 voti

It seems no-one has heard of a routine which does what I need, so I spent some time making one myself. Anyone who stumble across this thread with a similar question, can check it out HERE.

3 Commenti

Dimo Iordanov
Dimo Iordanov il 6 Gen 2021
Hello Jakob, thanks a lot for making a routine that does that. I'm fairly new to MATLAB, and I'm having hard time using your routine. Is it possible to give me an example how to use it, for example for Voronoi diagram of three random points limited between 0 and 3, and we want our polygon to have shapes 4X4.
Thanks a lot in advance.
Bruno Lopes
Bruno Lopes il 20 Feb 2022
You're a kind soul, man. Thank you very much. I hope there are more people like you in the scientific world.
Xu
Xu il 30 Mag 2024
Impressive, thanks for sharing

Accedi per commentare.

Più risposte (3)

the cyclist
the cyclist il 5 Dic 2011

0 voti

I am not very familiar with these techniques, but I wonder if the convhull() or trisurf() commands are closer to what you want.
S
S il 20 Giu 2012

0 voti

Many thanks, I was just looking for something like this.
Preetham Manjunatha
Preetham Manjunatha il 8 Feb 2022

0 voti

If the Voronoi Diagram bounded region is rectangle or square, here is the link function to clip the extending edges of the Voronoi Diagram for rectangular/ square region. Rigorously tested on the random points, this function can process an input data set of 2000 seed points in 2D in about 0.015 seconds on average.

Categorie

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by