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Type: Artigo de periódico
Title: Riverbed: A Novel User-Steered Image Segmentation Method Based on Optimum Boundary Tracking
Author: Miranda, Paulo A. V.
Falcao, Alexandre Xavier
Spina, Thiago V.
Abstract: 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.
Subject: Graph-cut segmentation
graph search algorithms
image foresting transform (IFT)
watershed transform
Editor: IEEE-Inst Electrical Electronics Engineers Inc
Citation: IEEE Transactions On Image Processing. IEEE-Inst Electrical Electronics Engineers Inc, v.21, n.6, p.3042-3052, 2012
Rights: fechado
Identifier DOI: 10.1109/TIP.2012.2188034
Date Issue: 2012
Appears in Collections:IC - Artigos e Outros Documentos

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