Name
Abstract | ||
|---|---|---|
•A novel local fitted image is proposed to approximate the square of the original image based on the LBF and LIF models.•A novel active contour model is proposed by constructing a local hybrid image fitting energy.•Segmentation results demonstrate that our model is better than several typical models in terms of accuracy and computational effectiveness. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ins.2017.06.042 | Information Sciences |
Keywords | Field | DocType |
Image segmentation,Active contour models,Local fitted image,Level set | Scale-space segmentation,Level set,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Active contour model,Computer vision,Pattern recognition,Segmentation,Hybrid image,Real image,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
418 | C | 0020-0255 |
Citations | PageRank | References |
12 | 0.49 | 37 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Wang | 1 | 401 | 111.60 |
| Yan Chang | 2 | 19 | 2.98 |
| Hui Wang | 3 | 19 | 2.65 |
| Zhenzhou Wu | 4 | 12 | 0.49 |
| Jiantao Pu | 5 | 277 | 23.12 |
| Xiaodong Yang | 6 | 20 | 3.34 |