| Texto completo | |
| Autor(es): |
Miranda, Paulo A. V.
;
Bergo, Felipe P. G.
;
Rocha, Leonardo M.
;
Falcao, Alexandre X.
;
Neto, MMD
;
Carceroni, RL
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2009 XXII BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING (SIBGRAPI 2009); v. N/A, p. 2-pg., 2006-01-01. |
| Resumo | |
Image segmentation using tree pruning (TP) and watershed (WS) has been presented in the framework of the image-forest transform (IFT)- a method to reduce image processing problems related to connectivity into an optimum-path forest problem in a graph. Given that both algorithms use the IFT with similar parameters, they usually produce similar segmentation results. However, they rely on different properties of the IFT which make TP more robust than WS for automatic segmentation tasks. We propose and demonstrate an important improvement in the TP algorithm, clarify the differences between TP and WS, and provide their comparative analysis from the theoretical and practical points of view. The experiments involve automatic segmentation of license plates in a database with 990 images. (AU) | |
| Processo FAPESP: | 05/59808-0 - Segmentacao de imagens de ressonancia magnetica do cerebro humano. |
| Beneficiário: | Paulo André Vechiatto de Miranda |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 03/13424-1 - Identificação e caracterização das etiologias, mecanismos de lesão, disfunção neuronal e defeitos moleculares na epilepsia de lobo temporal mesial e sua relação com a resposta ao tratamento |
| Beneficiário: | Iscia Teresinha Lopes Cendes |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |