| Full text | |
| Author(s): Show less - |
Luz Alves, Wonder Alexandre
;
Gobber, Charles Ferreira
;
da Silva, Dennis Jose
;
Morimitsu, Alexandre
;
Hashimoto, Ronaldo Fumio
;
Marcotegui, Beatriz
;
Burgeth, B
;
Kleefeld, A
;
Naegel, B
;
Passat, N
;
Perret, B
Total Authors: 11
|
| Document type: | Journal article |
| Source: | MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING, ISMM 2019; v. 11564, p. 13-pg., 2019-01-01. |
| Abstract | |
Ultimate levelings are operators that extract important image contrast information from a scale-space based on levelings. During the residual extraction process, it is very common that some residues are selected from undesirable regions, but they should be filtered out. In order to avoid this problem some strategies can be used to filter residues extracted by ultimate levelings. In this paper, we introduce a novel strategy to filter undesirable residues from ultimate levelings based on a regression model that predicts the correspondence between objects of interest and residual regions. In order to evaluate our new approach, some experiments were carried out with a plant dataset and the results show the robustness of our method. (AU) | |
| FAPESP's process: | 18/15652-7 - Image segmentation based on shape constraints through the ultimate levelings |
| Grantee: | Wonder Alexandre Luz Alves |
| Support Opportunities: | Regular Research Grants |