Detecting curved edges in noisy images in sublinear time
type: Item
instance of: scholarly article
title: Detecting curved edges in noisy images in sublinear time
zbMATH Open document ID: 1391.94106
author: Yi-Qing Wang
author: Alain Trouvé
author: Yali Amit
author: Boaz Nadler
published in: Journal of Mathematical Imaging and Vision
publication date: 2018-03-08T00:00:00Z
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6848103
zbMATH Keywords: curved edge detection
zbMATH Keywords: sublinear algorithm
zbMATH Keywords: noisy images
MaRDI profile type: Publication
full work available at URL: s10851-016-0689-x
OpenAlex ID: W2556682805
cites work: Q3235904
cites work: Networks of polynomial pieces with application to the analysis of point clouds and images
cites work: Fast Calculation of Multiple Line Integrals
cites work: Edge detection by Helmholtz principle
cites work: A new curve detection method: Randomized Hough transform (RHT)
cites work: Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
cites work: Detection of Long Edges on a Computational Budget: A Sublinear Approach
cites work: Regularized Laplacian zero crossings as optimal edge integrators
cites work: Randomized or probabilistic Hough transform: Unified performance evaluation
cites work: Fast-Match: fast affine template matching
cites work: Adaptive estimation of a quadratic functional by model selection.
cites work: Secrets of image denoising cuisine
cites work: Approximation, Randomization, and Combinatorial Optimization.. Algorithms and Techniques
cites work: Alternatives to the Median Absolute Deviation
cites work: Sublinear Time Algorithms
DOI: 10.1007/S10851-016-0689-X
description: scientific article; zbMATH DE number 6848103