Name
Abstract | ||
|---|---|---|
In this paper, we present a segmentation method of noisy color images that uses an anisotropic diffusion algorithm and a region-growing algorithm. We propose a modified anisotropic diffusion algorithm as a new precise edge-preserving smoothing technique by using the dynamic morphological filtering. We incorporate a dynamic selection of multiple structuring elements for each pixel in the morphological filter before the anisotropic diffusion in order to improve the ability of edge-preserving smoothing. As a result, noise and unnecessary details of images are effectively smoothed while preserving small image structures before performing a region-growing algorithm. Therefore, the proposed method is suitable for an accurate segmentation of color images with noise. Several simulated examples are presented that demonstrate the effectiveness of the proposed technique. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SCIS-ISIS.2012.6505048 | SCIS&ISIS |
Keywords | Field | DocType |
image colour analysis,image segmentation,smoothing methods,dynamic morphological filtering,dynamic selection,edge-preserving smoothing technique,image structures,modified anisotropic diffusion algorithm,multiple structuring elements,noisy color images,region-growing algorithm,segmentation method | Anisotropic diffusion,Scale-space segmentation,Computer science,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Edge-preserving smoothing,Computer vision,Mathematical optimization,Pattern recognition,Segmentation,Smoothing,Pixel | Conference |
ISSN | ISBN | Citations |
2377-6870 | 978-1-4673-2742-8 | 0 |
PageRank | References | Authors |
0.34 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Maeda | 1 | 290 | 21.43 |
| Harada, T. | 2 | 0 | 0.34 |
| Saga, S. | 3 | 0 | 0.34 |
| Suzuki, Y. | 4 | 0 | 0.68 |