Name
Title | ||
|---|---|---|
3D image analysis by separable discrete orthogonal moments based on Krawtchouk and Tchebichef polynomials. |
Abstract | ||
|---|---|---|
•This paper introduces new sets of separable discrete moments for 3D image analysis.•This paper provides the process for deriving 3D moment invariants (scale, translation, rotation).•Numerical experiments are performed to demonstrate its validity and superiority. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.patcog.2017.06.013 | Pattern Recognition |
Keywords | Field | DocType |
3D image analysis,Separable moments,Moment invariants,Numerical stability,Object classification,Multivariate discrete orthogonal polynomials,Krawtchouk moments,Tchebichef moments | Discrete mathematics,Pattern recognition,Algebra,Polynomial,Separable space,Feature extraction,Artificial intelligence,Invariant (mathematics),Velocity Moments,Scaling,Mathematics,3d image | Journal |
Volume | Issue | ISSN |
71 | 1 | 0031-3203 |
Citations | PageRank | References |
8 | 0.44 | 22 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imad Batioua | 1 | 15 | 1.52 |
| Rachid Benouini | 2 | 22 | 3.98 |
| K. Zenkouar | 3 | 50 | 7.87 |
| Azeddine Zahi | 4 | 56 | 6.30 |
| Hakim El Fadili | 5 | 28 | 4.18 |