Name
Abstract | ||
|---|---|---|
A nonlinear functional is considered for segmentation of images containing structural textures. A structural texture pattern in an image is characterized by a certain amplitude spectrum, and segmentation of different patterns is obtained by detecting different regions with different amplitude spectra. A gradient-descent-based algorithm is proposed by deriving equations minimizing the functional. This algorithm, implementing the solutions minimizing the functional, is based on the level set method. An effective method employed in this algorithm is shown to be robust in a noisy environment. Experimental results demonstrate that the proposed method outperforms segmentation obtained by using the simulated annealing algorithm based on Gaussian Markov random fields. (c) 2006 SPIE and IS&T. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1117/1.2234370 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
algorithms,energy optimization,smoothing | Simulated annealing,Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Level set method,Segmentation,Image texture,Segmentation-based object categorization,Image segmentation,Smoothing,Artificial intelligence | Journal |
Volume | Issue | ISSN |
15 | 3 | 1017-9909 |
Citations | PageRank | References |
1 | 0.35 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sasan Mahmoodi | 1 | 94 | 17.37 |
| Bayan S. Sharif | 2 | 336 | 47.38 |