| Full text | |
| Author(s): |
Bejar, Hans H. C.
;
Cappabianco, Fabio A. M.
;
Miranda, Paulo A. V.
;
Battiato, S
;
Gallo, G
;
Schettini, R
;
Stanco, F
Total Authors: 7
|
| Document type: | Journal article |
| Source: | IMAGE ANALYSIS AND PROCESSING,(ICIAP 2017), PT I; v. 10484, p. 11-pg., 2017-01-01. |
| Abstract | |
In graph-based image segmentation, the arc weights are given by a local edge indicator function based on image attributes and prior object information. In boundary tracking methods, an edge integration process combines local edges into meaningful long edge curves, interconnecting a set of anchor points, such that a closed contour is computed for segmentation. In this work, we show that multiple short-range edge integrations can extract curvilinear features all over the image to improve seeded region-based segmentation. We demonstrate these results using edge integration by Live Wire (LW), combined with Oriented Image Foresting Transform (OIFT), due to their complementary strengths. As result, we have a globally optimal segmentation, that can be tailored to a given target object, according to its localized curvilinear features. (AU) | |
| FAPESP's process: | 16/21591-5 - Development of robust methods for edge delineation in images using graphs |
| Grantee: | Fábio Augusto Menocci Cappabianco |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 11/50761-2 - Models and methods of e-Science for life and agricultural sciences |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |
| 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 |