| Texto completo | |
| Autor(es): |
Vargas-Munoz, John E.
[1]
;
Chowdhury, Ananda S.
[2]
;
Alexandre, Eduardo B.
[3]
;
Galvao, Felipe L.
[1]
;
Vechiatto Miranda, Paulo A.
[3]
;
Falcao, Alexandre X.
[1]
Número total de Autores: 6
|
| Afiliação do(s) autor(es): | [1] Univ Estadual Campinas, Inst Comp, Dept Informat Syst, BR-13083852 Campinas, SP - Brazil
[2] Jadavpur Univ, Dept Elect & Telecommun Engn, Kolkata 700032 - India
[3] Univ Sao Paulo, Inst Math & Stat, Dept Comp Sci, BR-05508090 Sao Paulo - Brazil
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE Transactions on Image Processing; v. 28, n. 7, p. 3477-3489, JUL 2019. |
| Citações Web of Science: | 0 |
| Resumo | |
Superpixel segmentation has emerged as an important research problem in the areas of image processing and computer vision. In this paper, we propose a framework, namely Iterative Spanning Forest (ISF), in which improved sets of connected superpixels (supervoxels in 3D) can be generated by a sequence of image foresting transforms. In this framework, one can choose the most suitable combination of ISF components for a given application-i.e., 1) a seed sampling strategy; 2) a connectivity function; 3) an adjacency relation; and 4) a seed pixel recomputation procedure. The superpixels in ISF structurally correspond to spanning trees rooted at those seeds. We present five ISF-based methods to illustrate different choices for those components. These methods are compared with a number of state-of-the-art approaches with respect to effectiveness and efficiency. Experiments are carried out on several datasets containing 2D and 3D objects with distinct texture and shape properties, including a high-level application, named sky image segmentation. The theoretical properties of ISF are demonstrated in the supplementary material and the results show ISF-based methods rank consistently among the best for all datasets. (AU) | |
| Processo FAPESP: | 16/14760-5 - Anotação Interativa de Imagens de Sensoriamento Remoto |
| Beneficiário: | John Edgar Vargas Muñoz |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 14/12236-1 - AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo? |
| Beneficiário: | Alexandre Xavier Falcão |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 15/01186-6 - Geração de superpixels por segmentação de imagem baseada em Floresta de Caminhos Ótimos |
| Beneficiário: | Alexandre Xavier Falcão |
| Modalidade de apoio: | Auxílio à Pesquisa - Pesquisador Visitante - Internacional |
| Processo FAPESP: | 14/50937-1 - INCT 2014: da Internet do Futuro |
| Beneficiário: | Fabio Kon |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |