Name
Abstract | ||
|---|---|---|
In this work we propose to use ordered directionally monotone functions to build an image feature extractor. Some theoretical aspects about directional monotonicity are studied to achieve our goal and a construction method for an image application is presented. Our proposal is compared to well-known methods in the literature as the gravitational method, the fuzzy morphology or the Canny method, and shows to be competitive. In order to improve the method presented, we propose a consensus feature extractor using combinations of the different methods. To this end we use ordered weighted averaging aggregation functions and obtain a new feature extractor that surpasses the results obtained by state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-95312-0_14 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Edge detection,Feature extraction,Ordered directionally monotone functions,Ordered weighted averaging aggregation functions | Monotonic function,Edge detection,Computer science,Fuzzy logic,Algorithm,Feature extraction,Artificial intelligence,Extractor,Construction method,Machine learning,Monotone polygon | Conference |
Volume | ISSN | Citations |
831 | 1865-0929 | 1 |
PageRank | References | Authors |
0.35 | 14 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cédric Marco-Detchart | 1 | 15 | 5.80 |
| Graçaliz Pereira Dimuro | 2 | 667 | 43.93 |
| Mikel Sesma-Sara | 3 | 53 | 9.07 |
| Aitor Castillo-Lopez | 4 | 1 | 0.35 |
| Javier Fernandez | 5 | 782 | 46.37 |
| Humberto Bustince | 6 | 1938 | 134.10 |