Name
Abstract | ||
|---|---|---|
In this paper we describe a cellular automaton (CA) used to perform the watershed transform in N-D images. Our method is based on image integration via the Ford-Bellman shortest paths algorithm. Due to the local nature of CA algorithms we show that they are designed to run on massively parallel processors and therefore, be efficiently implemented on low cost consumer graphical processing units (GPUs). |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761628 | 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 |
Keywords | Field | DocType |
parallel processing,image segmentation,lattices,shortest path algorithm,cellular automata,automata,watershed transform,cellular automaton,algorithm design and analysis,pixel | Computer vision,Distance measurement,Cellular automaton,Algorithm design,Massively parallel,Computer science,Automaton,Image segmentation,Watershed,Pixel,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
1051-4651 | 10 | 0.70 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claude Kauffmann | 1 | 39 | 3.84 |
| Nicolas Piche | 2 | 10 | 0.70 |