Spectral edge detection in two dimensions using wavefronts

DOI10.1016/j.acha.2010.02.007zbMath1222.65020arXiv0909.5453OpenAlexW1969700712MaRDI QIDQ617705

C. Stucchio, Leslie F. Greengard

Publication date: 13 January 2011

Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0909.5453

zbMATH Keywords

algorithmsingularitiessegmentationedge detectionwavefrontMRI imagedirectional filtersurfel extraction

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Analysis of edge and corner points using parabolic dictionaries

Cites Work

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• Parameter optimization and reduction of round off error for the Gegenbauer reconstruction method
• Edge analysis and identification using the continuous shearlet transform
• Regularity properties of Fourier integral operators
• Fourier inversion for multidimensional characteristic functions
• Detection of edges in spectral data
• Fast Fourier transforms of piecewise constant functions
• Curve reconstruction from noisy samples
• Curve reconstruction: Connecting dots with good reason
• A note on spherical summation multipliers
• Detection of Edges in Spectral Data II. Nonlinear Enhancement
• Recovery of Edges from Spectral Data with Noise—A New Perspective
• New tight frames of curvelets and optimal representations of objects with piecewise C² singularities
• The curvelet representation of wave propagators is optimally sparse
• Fast Discrete Curvelet Transforms
• Reconstructing curves with sharp corners

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