Name
Abstract | ||
|---|---|---|
This paper investigates the scale selection problem for vector-valued nonlinear diffusion scale-spaces. We present a new approach for the localization scale selection, which aims at maximizing the image content's presence by finding the scale having a maximum correlation with the noise-free image. For scale-space discretization, we propose to address an adaptation of the optimal diffusion stopping time criterion introduced by Mrázek and Navara [1], in such a way that it identifies multiple scales of importance. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72823-8_4 | SSVM |
Keywords | Field | DocType |
multiple scale,vector-valued nonlinear diffusion scale-spaces,maximum correlation,image content,vector-valued image,noise-free image,scale selection problem,scale-space discretization,new approach,compact scale-space representation,optimal diffusion,localization scale selection,stopping time,scale space | Discretization,Mathematical optimization,Scale-space axioms,Nonlinear diffusion,Image content,Algorithm,Scale space,Correlation,Scale selection,Stopping time,Mathematics | Conference |
Volume | ISSN | Citations |
4485 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cosmin Mihai | 1 | 8 | 1.91 |
| Iris Vanhamel | 2 | 100 | 9.96 |
| Hichem Sahli | 3 | 475 | 65.19 |
| Antonis Katartzis | 4 | 39 | 3.20 |
| Ioannis Pratikakis | 5 | 1065 | 57.91 |