image analysis

Conference on Digital Geometry and Discrete Variational Calculus
Chair of the organization committee.
Mar 29, 2021 9:00 AM — Apr 2, 2021 2:00 PM CIRM, Luminy, France (virtual)
Jacques-Olivier Lachaud
Project Website Video Slides (PDF)
Conference on Digital Geometry and Discrete Variational Calculus
An Elastica-Driven Digital Curve Evolution Model for Image Segmentation
Geometric priors have been shown to be useful in image segmentation to regularize results. For example, the classical Mumford-Shah …
Daniel Martins Antunes, Jacques-Olivier Lachaud, Hugues Talbot
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An Elastica-Driven Digital Curve Evolution Model for Image Segmentation
Digital Geometry in Pattern Recognition: Extracting Geometric Features with DGtal and Applications
A tutorial on digital geometry and its applications to pattern recognition
Nov 25, 2019 2:45 PM — Nov 26, 2019 6:00 PM Auckland, New Zealand
Bertrand Kerautret, Jacques-Olivier Lachaud
Project Website GitHub PDF (part 1) PDF (part 2)
Digital Geometry in Pattern Recognition: Extracting Geometric Features with DGtal and Applications
Digital Curvature Evolution Model for Image Segmentation
Recent works have indicated the potential of using curvature as a regularizer in image segmentation, in particular for the class of …
D. Antunes, Jacques-Olivier Lachaud, H. Talbot
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Digital Curvature Evolution Model for Image Segmentation
Image restoration and segmentation using the Ambrosio-Tortorelli functional and discrete calculus
Essential image processing and analysis tasks, such as image segmentation, simplification and denoising, can be conducted in a unified …
Marion Foare, Jacques-Olivier Lachaud, Hugues Talbot
PDF Cite Project Slides (PDF) Supplementary (PDF) Code (DGtal)
Image restoration and segmentation using the Ambrosio-Tortorelli functional and discrete calculus
Numerical implementation of the Ambrosio-Tortorelli functional using discrete calculus and application to image restoration and inpainting
The Mumford-Shah (MS) functional is one of the most influential variational model in image segmentation, restoration, and cartooning. …
M. Foare, Jacques-Olivier Lachaud, H. Talbot
PDF Cite Project Code (DGtal)
Numerical implementation of the Ambrosio-Tortorelli functional using discrete calculus and application to image restoration and inpainting
CoMeDiC

Convergent Metrics for Digital Calculus

(ANR project ANR-15-CE40-0006)

Oct. 2015 - Jul. 2021

Principal Investigator

PDF website
CoMeDiC
Meaningful Scales Detection along Digital Contours for Unsupervised Local Noise Estimation
The automatic detection of noisy or damaged parts along digital contours is a difficult problem since it is hard to distinguish between …
B. Kerautret, Jacques-Olivier Lachaud
PDF Cite Project DOI IPOL demo
Meaningful Scales Detection along Digital Contours for Unsupervised Local Noise Estimation
Unsupervised, Fast and Precise Recognition of Digital Arcs in Noisy Images
In image processing and pattern recognition, the accuracy of most algorithms is dependent on a good parameterization, generally a …
T. P. Nguyen, B. Kerautret, I. Debled-Rennesson, Jacques-Olivier Lachaud
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Unsupervised, Fast and Precise Recognition of Digital Arcs in Noisy Images
DGtal

Digital geometry tools and Algorithm.

Since 2010.

An open-source generic C++ library for digital geometry.

Co-founder

website GitHub
DGtal