Name
Abstract | ||
|---|---|---|
•New invariants to image rotation are presented.•The invariants are based on non-separable moments, which is a difference from all previously published invariants.•Non-separability of the moments contributes to better recognition power and to higher robustness.•The invariants can be efficiently evaluated by recurrent relations.•The experiments compare the new invariants to three other state-of-the art ones. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2022.108607 | Pattern Recognition |
Keywords | DocType | Volume |
Image recognition,Rotation invariants,Non-separable moments,Appell polynomials,Bi-orthogonality,Recurrent relation | Journal | 127 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leonid Bedratyuk | 1 | 0 | 0.34 |
| Jan Flusser | 2 | 3067 | 215.61 |
| Tomás Suk | 3 | 0 | 0.34 |
| Jitka Kostková | 4 | 8 | 2.81 |
| Jaroslav Kautsky | 5 | 108 | 20.75 |