Live extraction of curvilinear structures from LiDAR raw data

P Even, P Ngo - ISPRS Annals of the Photogrammetry …, 2020 - isprs-annals.copernicus.org
elongated shape: walls, ditches, ancient tracks, parcel limits, agricultural benches, etc. This
work aims at providing simple solutions to extract those curvilinear structures … and stochastic

The relationship between curvilinear structure enhancement and ridge detection methods

HF Alhasson, CG Willcocks, SS Alharbi, A Kasim… - The Visual …, 2021 - Springer
… These examples often contain different curvilinear structures … , where we have extracted
the enhancement phase as a … solution should support fitting elongated shapes in order to …

Joint topology-preserving and feature-refinement network for curvilinear structure segmentation

M Cheng, K Zhao, X Guo, Y Xu… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
applications include crack detection, aerial road extraction, … to model global context by
building long-range dependencies … flipping, random cropping, and random rotation with 90◦, 180…

Local intensity order transformation for robust curvilinear object segmentation

T Shi, N Boutry, Y Xu, T Géraud - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
… ] develop a stochastic approach for line segment extraction. … of curvilinear objects having
usually thin and long structures. … for adjacent curvilinear structures detection with application to …

A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization

S Carneiro-Esteves, A Vacavant, O Merveille - Neurocomputing, 2024 - Elsevier
… are complex objects that exhibit a thin, curved, and elongated shape. … binary curvilinear
structures, our algorithm creates randomExtraction of the curvilinear structure centerlines and its …

Curvilinear Structure Detection in Images by Connected-Tube Marked Point Process and Anomaly Detection in Time Series

T Li - 2023 - search.proquest.com
… detection method, we focus on the application of road detection … a tube object have similar
random variables for each mark, … fibers, while our model can extract the long fibers. We use 10 …

Pavement crack detection using progressive curvilinear structure anisotropy filtering and adaptive graph-cuts

Z Li, G Xu, Y Cheng, Z Wang, Q Wu - IEEE Access, 2020 - ieeexplore.ieee.org
… Despite a large field of application and decades of extensive … the profile of curvilinear structures
as elongated patterns. In the … , in which crack pixels are extracted by solving an optimized …

Analysis and stochastic simulation of geometrical properties of conduits in karstic networks

Y Frantz, P Collon, P Renard, S Viseur - Geomorphology, 2021 - Elsevier
… Thanks to the definition of 1D-curvilinear variograms, we … The data from this 58-km long
network are composed of … For karst applications, we would like to compute a variogram …

Roughness measurement of 2D curvilinear patterns: challenges and advanced methodology

J Pradelles, L Perraud, A Fay… - … Process Control for …, 2021 - spiedigitallibrary.org
… In the following we use an approach based on extracting and … computing library to generate
random numbers with a … and the bottom of the geometry, long range and short range electron …

Semi-stochastic generation of rock discontinuity networks based on traces exposed on cavern roof

QH Zhang, QB Liu - International Journal of Rock Mechanics and Mining …, 2022 - Elsevier
… high-precision identification and extraction of outcrop information of … simulation method could
be necessary over a long time … circular disc) will form a curvilinear trace rather than a linear …