Name
Abstract | ||
|---|---|---|
We investigate a method of segmentation of multichannel polari- metric images, such as in laser illuminated or synthetic aperture radar, into a given but arbitrary number of regions via curve evo- lution and level sets. The algorithm consists of evolving closed curve, within an explicit correspondence between the interiors of curves and regions segmentation, to minimize a multivariate cri- terion corresponding to the complex Gaussian polarimetric model and a term of smoothness of the boundaries of regions. Results are shown on a polarimetric image. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICIP.2005.1529742 | Image Processing, 2005. ICIP 2005. IEEE International Conference |
Keywords | Field | DocType |
image segmentation,polarimetry,complex Gaussian polarimetric model,laser illuminated,level set curve evolution partitioning,multichannel polarimetric images segmentation,multivariate criterion,synthetic aperture radar | Computer vision,Scale-space segmentation,Polarimetry,Pattern recognition,Computer science,Synthetic aperture radar,Segmentation,Level set,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Complex normal distribution | Conference |
Volume | ISSN | ISBN |
1 | 1522-4880 | 0-7803-9134-9 |
Citations | PageRank | References |
2 | 0.43 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ben Ayed, I. | 1 | 117 | 5.20 |
| Amar Mitiche | 2 | 878 | 129.19 |
| Ziad Belhadj | 3 | 125 | 10.56 |