Name
Title | ||
|---|---|---|
Architecture-Driven Level Set Optimization: From Clustering to Subpixel Image Segmentation. |
Abstract | ||
|---|---|---|
Thanks to their effectiveness, active contour models (ACMs) are of great interest for computer vision scientists. The level set methods (LSMs) refer to the class of geometric active contours. Comparing with the other ACMs, in addition to subpixel accuracy, it has the intrinsic ability to automatically handle topological changes. Nevertheless, the LSMs are computationally expensive. A solution for ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCYB.2015.2499206 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Mathematical model,Level set,Image segmentation,Clustering algorithms,Active contours,Robustness,Graphics processing units | Active contour model,Computer vision,Massively parallel,Computer science,Robustness (computer science),Image segmentation,Artificial intelligence,Hardware acceleration,Subpixel rendering,Initialization,Cluster analysis,Machine learning | Journal |
Volume | Issue | ISSN |
46 | 12 | 2168-2267 |
Citations | PageRank | References |
3 | 0.38 | 32 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Souleymane Balla-Arabe | 1 | 108 | 6.97 |
| Xinbo Gao | 2 | 5534 | 344.56 |
| Dominique Ginhac | 3 | 105 | 17.27 |
| Vincent Brost | 4 | 45 | 6.75 |
| Fan Yang | 5 | 133 | 13.50 |