Accurate junction detection and characterization in natural images

DOI10.1007/s11263-013-0640-1zbMath1328.68253OpenAlexW2105548357MaRDI QIDQ903425

Julie Delon, Yann Gousseau, Gui-Song Xia

Publication date: 6 January 2016

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-013-0640-1

zbMATH Keywords

a-contrario methodcontrast invariancejunction detectionscale characterizationscale-invariant keypoints

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45)

Related Items (4)

An anisotropic a contrario framework for the detection of convergences in images ⋮ Corner detection using multi-directional structure tensor with multiple scales ⋮ Joint contours, corner and T-junction detection: an approach inspired by the mammal visual system ⋮ Angular Accuracy of Steerable Feature Detectors

Uses Software

• MegaWave
• SIFT

Cites Work

• Coding images with local features
• Meaningful alignments
• Junction detection and grouping with probabilistic edge models and Bayesian \(A^{\ast}\)
• A model-based approach to junction detection using radial energy
• A Statistical Approach to the Matching of Local Features
• Shape Recognition Based on an a Contrario Methodology
• An Improved Curvature Scale-Space Corner Detector and a Robust Corner Matching Approach for Transformed Image Identification
• Evaluation of interest point detectors

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