Analysis of noisy digital contours with adaptive tangential cover

DOI10.1007/s10851-017-0723-7zbMath1420.68230OpenAlexW2596586891MaRDI QIDQ2403747

Isabelle Debled-Rennesson, Bertrand Kerautret, Hayat Nasser, Phuc Ngo

Publication date: 12 September 2017

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://hal.inria.fr/hal-01486969/file/SI_DGCI_ATC2016_Review_REV2.pdf

zbMATH Keywords

dominant pointsnoise leveltangentgeometrical parametersnormal vectorsmaximal blurred segmentcontour concave/convex partslength contour estimator

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Tangential cover for 3D irregular noisy digital curves

Uses Software

• DGtal
• GitHub

Cites Work

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• A discrete geometry approach for dominant point detection
• Tangential cover for thick digital curves
• Canonical representations of discrete curves
• Dominant point detection based on discrete curve structure and applications
• Robust Geometry Estimation Using the Generalized Voronoi Covariance Measure
• ON THE LOCAL PROPERTIES OF DIGITAL CURVES
• Discrete Geometry for Computer Imagery
• Discrete Geometry for Computer Imagery
• Binomial Convolutions and Derivatives Estimation from Noisy Discretizations
• Adaptive Tangential Cover for Noisy Digital Contours

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