| dc.creator | Miranda, Paulo A. V. | |
| dc.creator | Falcao, Alexandre Xavier | |
| dc.creator | Spina, Thiago V. | |
| dc.date | 2012 | |
| dc.date | 2013-09-19T18:06:55Z | |
| dc.date | 2016-06-30T18:10:12Z | |
| dc.date | 2013-09-19T18:06:55Z | |
| dc.date | 2016-06-30T18:10:12Z | |
| dc.date.accessioned | 2018-03-29T01:52:55Z | |
| dc.date.available | 2018-03-29T01:52:55Z | |
| dc.identifier | IEEE Transactions On Image Processing. IEEE-Inst Electrical Electronics Engineers Inc, v.21, n.6, p.3042-3052, 2012 | |
| dc.identifier | 1057-7149 | |
| dc.identifier | WOS:000304159800012 | |
| dc.identifier | 10.1109/TIP.2012.2188034 | |
| dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/2511 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/2511 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1308273 | |
| dc.description | This paper presents an optimum user-steered boundary tracking approach for image segmentation, which simulates the behavior of water flowing through a riverbed. The riverbed approach was devised using the image foresting transform with a never-exploited connectivity function. We analyze its properties in the derived image graphs and discuss its theoretical relation with other popular methods such as live wire and graph cuts. Several experiments show that riverbed can significantly reduce the number of user interactions (anchor points), as compared to live wire for objects with complex shapes. This paper also includes a discussion about how to combine different methods in order to take advantage of their complementary strengths. | |
| dc.description | 21 | |
| dc.description | 6 | |
| dc.description | 3042 | |
| dc.description | 3052 | |
| dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description | Conselho Nacional de Desenvolvimento Cientiacute | |
| dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
| dc.language | eng | |
| dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | |
| dc.publisher | Piscataway | |
| dc.relation | IEEE Transactions On Image Processing | |
| dc.rights | fechado | |
| dc.source | WOS | |
| dc.subject | Graph-cut segmentation | |
| dc.subject | graph search algorithms | |
| dc.subject | image foresting transform (IFT) | |
| dc.subject | watershed transform | |
| dc.subject | RELATIVE FUZZY CONNECTEDNESS | |
| dc.subject | LIVE-WIRE SEGMENTATION | |
| dc.subject | ACTIVE SHAPE MODELS | |
| dc.subject | INTERACTIVE SEGMENTATION | |
| dc.subject | GRAPH CUTS | |
| dc.subject | ALGORITHMS | |
| dc.title | Riverbed: A Novel User-Steered Image Segmentation Method Based on Optimum Boundary Tracking | |
| dc.type | Artículos de revistas | |
