Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/74003
Type: Artigo de periódico
Title: Synergistic arc-weight estimation for interactive image segmentation using graphs
Author: de Miranda, PAV
Falcao, AX
Udupa, JK
Abstract: 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.
Subject: Image foresting transform
Graph-cut segmentation
Relative-fuzzy connectedness
Watershed transform
Live-wire segmentation
Contour tracking
Interactive segmentation
Graph-search algorithms
kappa-Connected segmentation
Country: EUA
Editor: Academic Press Inc Elsevier Science
Rights: fechado
Identifier DOI: 10.1016/j.cviu.2009.08.001
Date Issue: 2010
Appears in Collections:Unicamp - Artigos e Outros Documentos

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