Name
Abstract | ||
|---|---|---|
In this paper, Lattice Boltzmann Method (LBM) has been proposed to simulate the well known active contour model (the CV model) for image segmentation. The proposed method provides a new numerical solution for solving the level set equation of the active contour model. As a local and explicit scheme, the algorithm based on LBM is not only stable with large steps, but also overcomes the difficulty in parallel computing of most implicit difference approaches. Experimental results demonstrate that LBM is computationally more efficient than the semi-implicit discrete method of CV model. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIG.2011.138 | ICIG |
Keywords | Field | DocType |
active contour model,active contour,cv model,image segmentation,implicit difference approach,lattice boltzmann method,large step,explicit scheme,semi-implicit discrete method,computer model,level set,parallel processing,lattice boltzmann methods,mathematical model,computational modeling,parallel computer,lattices | Active contour model,Computer vision,Lattice (order),Numerical models,Computer science,Parallel processing,Lattice Boltzmann methods,Level set,Image segmentation,Artificial intelligence | Conference |
Citations | PageRank | References |
6 | 0.50 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiqiang Wang | 1 | 158 | 35.98 |
| Zhuang-zhi Yan | 2 | 14 | 8.28 |
| George Chen | 3 | 161 | 11.97 |