Name
Abstract | ||
|---|---|---|
An active contour model for vascular segmentation has been proposed, by defining a new, local, feature fitting, energy function. A vesselness filter is applied to the image in a directional Hessian-based framework. The filter output, as a feature, expresses the degree of the correspondence of each pixel to the vessel structure. By using intensity information obtained from local regions, the propos... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1049/iet-cvi.2013.0083 | IET Computer Vision |
Keywords | Field | DocType |
blood vessels,diagnostic radiography,feature extraction,Hessian matrices,image segmentation,medical image processing | Active contour model,Vessel segmentation,Computer vision,Market segmentation,Pattern recognition,Segmentation,Hessian matrix,Artificial intelligence,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 3 | 1751-9632 |
Citations | PageRank | References |
3 | 0.39 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| maryam taghizadeh dehkordi | 1 | 3 | 0.39 |
| ali mohamad doost hoseini | 2 | 3 | 0.39 |
| Saeed Sadri | 3 | 136 | 11.28 |
| Hamid Soltanian-Zadeh | 4 | 613 | 84.11 |