Name
Title | ||
|---|---|---|
Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach |
Abstract | ||
|---|---|---|
In this paper, a new model is proposed for image segmentation that integrates the curve evolution and anisotropic diffusion methods. The curve evolution method, utilizing both gradient and region information, segments an image into multiple regions. During the evolution of the curve, anisotropic diffusion is adaptively applied to the image to remove noise while preserving boundary information. Coupled partial differential equations (PDE's) are used to implement the method. Experimental results show that the proposed model is successful for complex images with high noise. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ISM.2005.68 | ISM |
Keywords | Field | DocType |
image segmentation,curve evolution,integrated approach,boundary information,complex image,new model,anisotropic diffusion method,high noise,curve evolution method,anisotropic diffusion,partial differential equations,partial differential equation,curve fitting | Anisotropic diffusion,Computer vision,Pattern recognition,Curve fitting,Computer science,Image segmentation,Artificial intelligence,Curve evolution,Noise removal,Partial differential equation | Conference |
ISBN | Citations | PageRank |
0-7695-2489-3 | 1 | 0.35 |
References | Authors | |
19 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongsheng Pan | 1 | 29 | 4.54 |
| J. Douglas Birdwell | 2 | 59 | 10.38 |
| Seddik M. Djouadi | 3 | 216 | 42.08 |