Artículos de revistas
Synergistic arc-weight estimation for interactive image segmentation using graphs
Registro en:
Computer Vision And Image Understanding. Academic Press Inc Elsevier Science, v. 114, n. 1, n. 85, n. 99, 2010.
1077-3142
WOS:000272651600008
10.1016/j.cviu.2009.08.001
Autor
de Miranda, PAV
Falcao, AX
Udupa, JK
Institución
Resumen
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) We introduce a framework for synergistic arc-weight estimation, where the user draws markers inside each object (including background), arc weights are estimated from image attributes and object information (pixels under the markers), and a visual feedback guides the user's next action. We demonstrate the method in several graph-based segmentation approaches as a basic step (which should be followed by some proper approach-specific adaptive procedure) and show its advantage over methods that do not exploit object information and over methods that recompute weights during delineation, which make the user to lose control over the segmentation process. We also validate the method using medical data from two imaging modalities (CT and MRI-T1). (C) 2009 Elsevier Inc. All rights reserved. 114 1 85 99 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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