Abstract | ||
---|---|---|
Active contours based on level sets are popular segmentation algorithms but their local optimization approach makes their results to depend on initialization, especially for edge-based formulations. In this paper we present a novel energy minimization method based on directed graph optimization that minimizes the same type of active contour energy function without the need of an initialization. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/ICIP.2017.8296245 | 2017 IEEE International Conference on Image Processing (ICIP) |
Keywords | Field | DocType |
active contours,Chan-Vese algorithm,directed graph optimization | Active contour model,Computer vision,Pattern recognition,Computer science,Segmentation,Level set,Directed graph,Image segmentation,Artificial intelligence,Local search (optimization),Initialization,Energy minimization | Conference |
ISSN | ISBN | Citations |
1522-4880 | 978-1-5090-2176-5 | 0 |
PageRank | References | Authors |
0.34 | 6 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adrian Barbu | 1 | 768 | 58.59 |