Name
Abstract | ||
|---|---|---|
In this paper we extend the Frangi filter[1] to recognize edges and do not enhance them. We give a theoretical framework for optimal scale selection and choice of the free parameters. We discuss discretization details concerning especially the discrete kernel used for building the scale-space and the choice of discrete scales. We present several experiments on phantom data to objectively and quantitatively compare and judge the filters. Experiments on real coronary angiograms enhance the improvement reached by the integration of the edge indicator. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72907-5_5 | FIMH |
Keywords | Field | DocType |
vessel enhancement,discrete kernel,edge indicator,frangi filter,theoretical framework,real coronary angiograms,free parameter,angiographic image,phantom data,discretization detail,discrete scale,optimal scale selection,scale space | Kernel (linear algebra),Computer vision,Discretization,Computer science,Imaging phantom,Artificial intelligence,Scale selection,Free parameter | Conference |
Volume | ISSN | Citations |
4466 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sahla Bouattour | 1 | 3 | 2.45 |
| Dietrich Paulus | 2 | 377 | 71.34 |