Name
Abstract | ||
|---|---|---|
Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. Here we focus on two methodologies: tensor voting by Guy and Medioni, and stochastic completion fields by Mumford, Williams and Jacobs. The objective of this article is to compare these two methods and to place them into a common mathematical framework. As a consequence we obtain a sound stochastic foundation of tensor voting, a new tensor voting field, and an analytic approximation of the stochastic completion kernel. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11577812_11 | DSSCV |
Keywords | Field | DocType |
new tensor voting field,tensor voting,image processing algorithm,stochastic completion kernel,common mathematical framework,stochastic completion field,sound stochastic foundation,visual striate cortex,analytic approximation,lateral interaction,image processing | Kernel (linear algebra),Discrete mathematics,Voting,Algebra,Computer science,Stochastic calculus,Image processing,Singularity,Artificial intelligence,Digital image processing,Stochastic approximation,Completeness (statistics) | Conference |
Volume | ISSN | ISBN |
3753 | 0302-9743 | 3-540-29836-3 |
Citations | PageRank | References |
4 | 0.73 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus van Almsick | 1 | 56 | 4.80 |
| Remco Duits | 2 | 380 | 33.83 |
| Erik Franken | 3 | 119 | 7.73 |
| Bart ter Haar Romeny | 4 | 224 | 16.62 |