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Riverbed: A Novel User-Steered Image Segmentation Method Based on Optimum Boundary Tracking

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Publication:5372924
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DOI10.1109/TIP.2012.2188034zbMath1373.94285WikidataQ48801389 ScholiaQ48801389MaRDI QIDQ5372924

Alexandre Xavier Falcão, Thiago Vallin Spina, Paulo A. V. Miranda

Publication date: 27 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)



Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Graph algorithms (graph-theoretic aspects) (05C85)


Related Items (6)

Path-value functions for which Dijkstra's algorithm returns optimal mapping ⋮ Combination of piecewise-geodesic paths for interactive segmentation ⋮ Image segmentation by relaxed deep extreme cut with connected extreme points ⋮ The Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process? ⋮ Bandeirantes: A Graph-Based Approach for Curve Tracing and Boundary Tracking ⋮ A Supervoxel-Based Solution to Resume Segmentation for Interactive Correction by Differential Image-Foresting Transforms






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