Name
Abstract | ||
|---|---|---|
Based on the dynamic structure, we design a system that can perform accurate stromule image segmentation, branch tip detection and tracking automatically. We substitute the user constraints in active contour segmentation by spatial fuzzy c-means clustering for providing more precise segmentation result. Based on the segmented contour after smoothing, we create a surface normal based feature that can accurately detect the branch tips. We further combine normal information together with tip position coordinate to apply ICP to track the branch tips moving path. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | Active contour model,Computer vision,Pattern recognition,Computer science,Segmentation,Fuzzy logic,Feature extraction,Image segmentation,Smoothing,Artificial intelligence,Cluster analysis,Normal |
DocType | ISSN | Citations |
Conference | 1522-4880 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoyu Lu | 1 | 60 | 7.22 |
| Li Ren | 2 | 0 | 0.34 |
| Jeffrey Caplan | 3 | 0 | 1.35 |
| C Kambhamettu | 4 | 80 | 12.28 |