Name
Abstract | ||
|---|---|---|
This paper presents a novel method aimed to free form deformation function approximation for purpose of image registration. The method is currently feature-based. The algorithm is inspired to concepts derived from Fuzzy C-means clustering technique such as membership degree and cluster centroids. After algorithm explanation, tests and relative results obtained are presented and discussed. Finally, considerations on future improvements are elucidated. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02282-1_19 | WILF |
Keywords | Field | DocType |
novel method,image registration,cluster centroid,relative result,future improvement,algorithm explanation,membership degree,free form deformation function,free form deformation technique,fuzzy clustering,function approximation | Fuzzy clustering,Fuzzy classification,Defuzzification,Pattern recognition,Computer science,Fuzzy logic,Free-form deformation,Artificial intelligence,FLAME clustering,Cluster analysis,Machine learning,Image registration | Conference |
Volume | ISSN | Citations |
5571 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edoardo Ardizzone | 1 | 239 | 40.79 |
| Roberto Gallea | 2 | 49 | 8.66 |
| Orazio Gambino | 3 | 56 | 11.37 |
| Roberto Pirrone | 4 | 140 | 36.09 |