| Full text | |
| Author(s): |
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]
Total Authors: 6
|
| Affiliation: | [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
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | IEEE Transactions on Image Processing; v. 28, n. 7, p. 3477-3489, JUL 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
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) | |
| FAPESP's process: | 16/14760-5 - Interactive Annotation of Remote Sensing Images |
| Grantee: | John Edgar Vargas Muñoz |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 15/01186-6 - Superpixel generation based on Optimum-Path Forest image segmentation |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Grants - Visiting Researcher Grant - International |
| FAPESP's process: | 14/50937-1 - INCT 2014: on the Internet of the Future |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |