Name
Abstract | ||
|---|---|---|
An unsupervised approach to image segmentation which fuses different sources of information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: an appropriated placement, the control of decision criterion, and the results refinement. The new algorithm uses the boundary information to initialize a set of active regions which compete for the pixels in order to segment the whole image. The method is implemented on a multiresolution representation which ensures noise robustness as well as computation efficiency. The accuracy of the segmentation results has been proven through an objective comparative evaluation of the method. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-36079-4_32 | CCIA |
Keywords | Field | DocType |
different strategy,region-boundary cooperative image,boundary information,different source,active regions,segmentation result,active region,results refinement,unsupervised approach,whole image,image segmentation | Active contour model,Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Segmentation-based object categorization,Multiresolution analysis,Image processing,Robustness (computer science),Image segmentation,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
2504 | 0302-9743 | 3-540-00011-9 |
Citations | PageRank | References |
1 | 0.36 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xavier Muñoz | 1 | 1084 | 59.52 |
| Jordi Freixenet | 2 | 887 | 64.40 |
| Xavier Cufí | 3 | 266 | 15.85 |
| Joan Martí | 4 | 246 | 10.91 |