The Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process?

DOI10.1007/978-3-030-14085-4_15OpenAlexW2915414787MaRDI QIDQ5237059

Alexandre Xavier Falcão, Jordão Bragantini

Publication date: 16 October 2019

Published in: Discrete Geometry for Computer Imagery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-14085-4_15

zbMATH Keywords

image foresting transformseed-based delineation algorithmssuperpixel and object segmentation

Mathematics Subject Classification ID

Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)

Related Items (1)

Towards interactive image segmentation by dynamic and iterative spanning forest

Uses Software

• MAXFLOW
• DeepLab
• GrabCut

Cites Work

• Unnamed Item
• Links between image segmentation based on optimum-path forest and minimum cut in graph
• Path-value functions for which Dijkstra's algorithm returns optimal mapping
• Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis
• Multi-label semi-supervised classification through optimum-path forest
• Hybrid Approaches for Interactive Image Segmentation Using the Live Markers Paradigm
• Oriented Image Foresting Transform Segmentation by Seed Competition
• Linear Spectral Clustering Superpixel
• An Iterative Spanning Forest Framework for Superpixel Segmentation
• A Supervoxel-Based Solution to Resume Segmentation for Interactive Correction by Differential Image-Foresting Transforms
• Riverbed: A Novel User-Steered Image Segmentation Method Based on Optimum Boundary Tracking

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