Name
Title | ||
|---|---|---|
Persistence of edge-detecting properties of a CNN to variations of the cell output function |
Abstract | ||
|---|---|---|
A two-dimensional model of a CNN with local couplings is considered as an image converter the input of which is the profile of initial conditions and the output is the steady-state pattern in the lattice. The properties of an edge-detecting CNN are described. The side effect of checkered pattern formation is discussed. The persistence of the edge-detecting properties of the system with respect to small perturbations of the cell output function is investigated analytically. The consequences of the replacement of the piecewise-linear cell output function by another one are studied numerically. |
Year | Venue | Keywords |
|---|---|---|
2004 | EUSIPCO | cellular neural nets,edge detection,image convertors,piecewise linear techniques,cnn,checkered pattern formation,edge-detection,image converter,piecewise-linear cell output function,two-dimensional model |
Field | DocType | ISBN |
Coupling,Lattice (order),Control theory,Mathematical analysis,Pattern formation,Perturbation (astronomy),Mathematics | Conference | 978-320-0001-65-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oleg I. Kanakov | 1 | 0 | 0.34 |
| V. D. Shalfeev | 2 | 3 | 1.81 |