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A comparative study of LPWAN technologies for large-scale IoT deployment

ICT Express , 2019, 5(1), , pp.1-7

2019

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Advanced Statistical Matrices for Texture Characterization: Application to Cell Classification

IEEE transactions on biomedical engineering, 2014-03, Vol.61 (3), p.630-637

2014

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Topographical Tools for Filtering and Segmentation 1: Watersheds on Node- or Edge-weighted Graphs

Meyer, Fernand

1, 2019

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Topographical tools for filtering and segmentation: watersheds on node- or edge-weighted graphs

Fernand Meyer, Meyer

1st edition, 2019

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Topographical Tools for Filtering and Segmentation 2: Flooding and Marker-based Segmentation on Node- or Edge-weighted Graphs

Meyer, Fernand

1st edition., 2019

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Topographical tools for filtering and segmentation.: (Flooding and marker-based segmentation on node- or edge-weighted graphs)

Fernand Meyer, Meyer

2019

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Overview of Cellular LPWAN Technologies for IoT Deployment: Sigfox, LoRaWAN, and NB-IoT

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2018, p.197-202

2018

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Watersheds on weighted graphs

Pattern recognition letters, 2014-10, Vol.47, p.72-79

Meyer, Fernand

2014

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Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings

1, 2017

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Combinatorial space of watershed hierarchies for image characterization

Pattern recognition letters, 2020-01, Vol.129, p.41-47

2020

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The Waterfall Hierarchy on Weighted Graphs

Mathematical Morphology and Its Applications to Signal and Image Processing, 2015, p.325-336

2015

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Topographic distance and watershed lines

Signal processing, 1994-07, Vol.38 (1), p.113-125

Meyer, Fernand

1994

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A Watershed Algorithm Progressively Unveiling Its Optimality

Mathematical Morphology and Its Applications to Signal and Image Processing, 2015, p.717-728

2015

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Marker Based Segmentation Revisited

Mathematical Morphology and Its Applications to Signal and Image Processing, 2019, Vol.11564, p.337-349

2019

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Image filtering using morphological amoebas

Image and vision computing, 2007-04, Vol.25 (4), p.395-404

2007

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First Departure Algorithms and Image Decompositions Into Peaks and Wells

IEEE journal of selected topics in signal processing, 2012-11, Vol.6 (7), p.795-808

Meyer, F.

2012

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Space, Structure and Randomness: Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets, and Mathematical Morphology

1. Aufl., 2005

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TeleOphta: Machine learning and image processing methods for teleophthalmology

Ingénierie et recherche biomédicale, 2013-04, Vol.34 (2), p.196-203

2013

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Space, Structure and Randomness: Contributions in Honor of Georges Matheron in the Field of Geostatistics, Random Sets and Mathematical Morphology

2005

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Flooding Edge or Node Weighted Graphs

Mathematical Morphology and Its Applications to Signal and Image Processing, 2013, p.341-352

2013

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Watershed Segmentation with a Controlled Precision

Mathematical Morphology and Its Applications to Signal and Image Processing, 2017, Vol.10225, p.83-94

2017

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Levelings, Image Simplification Filters for Segmentation

Journal of mathematical imaging and vision, 2004-01, Vol.20 (1/2), p.59-72

Meyer, Fernand

2004

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Sparse Stereo Disparity Map Densification Using Hierarchical Image Segmentation

Mathematical Morphology and Its Applications to Signal and Image Processing, 2017, Vol.10225, p.172-184

2017

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Characterizing Images by the Gromov-Hausdorff Distances Between Derived Hierarchies

2018 25th IEEE International Conference on Image Processing (ICIP), 2018, p.1213-1217

2018

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Prior-based Hierarchical Segmentation Highlighting Structures of Interest

Mathematical Morphology - Theory and Applications, 2019-01, Vol.3 (1), p.29-44

2019

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A comparative study of LPWAN technologies for large-scale IoT deployment

Advanced Statistical Matrices for Texture Characterization: Application to Cell Classification

Topographical Tools for Filtering and Segmentation 1: Watersheds on Node- or Edge-weighted Graphs

Topographical tools for filtering and segmentation: watersheds on node- or edge-weighted graphs

Topographical Tools for Filtering and Segmentation 2: Flooding and Marker-based Segmentation on Node- or Edge-weighted Graphs

Topographical tools for filtering and segmentation.: (Flooding and marker-based segmentation on node- or edge-weighted graphs)

Overview of Cellular LPWAN Technologies for IoT Deployment: Sigfox, LoRaWAN, and NB-IoT

Watersheds on weighted graphs

Mathematical Morphology and Its Applications to Signal and Image Processing: 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings

Combinatorial space of watershed hierarchies for image characterization

The Waterfall Hierarchy on Weighted Graphs

Topographic distance and watershed lines

A Watershed Algorithm Progressively Unveiling Its Optimality

Marker Based Segmentation Revisited

Image filtering using morphological amoebas

First Departure Algorithms and Image Decompositions Into Peaks and Wells

Space, Structure and Randomness: Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets, and Mathematical Morphology

TeleOphta: Machine learning and image processing methods for teleophthalmology

Space, Structure and Randomness: Contributions in Honor of Georges Matheron in the Field of Geostatistics, Random Sets and Mathematical Morphology

Flooding Edge or Node Weighted Graphs

Watershed Segmentation with a Controlled Precision

Levelings, Image Simplification Filters for Segmentation

Sparse Stereo Disparity Map Densification Using Hierarchical Image Segmentation

Characterizing Images by the Gromov-Hausdorff Distances Between Derived Hierarchies

Prior-based Hierarchical Segmentation Highlighting Structures of Interest

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