Guillaume Noyel
53
Documents
Identifiants chercheurs
guillaume-noyel- Arxiv : noyel_g_1
- ResearcherId : P-5930-2016
- IdRef : 136317006
-
0000-0002-7374-548X
- VIAF : 215158650
- ISNI : 0000000359301273
- Google Scholar : https://scholar.google.fr/citations?user=8RJLn60AAAAJ
Présentation
Guillaume Noyel was born in France, and obtained a MSc in Electrical Engineering from CPE-Lyon, France. He received his PhD in Mathematical Morphology from Mines ParisTech, Paris, in 2008 before working as a researcher in image processing at the Michelin Research Centre for 6 years. His principal fields of expertise are multivariate image analysis and segmentation, mathematical morphology, texture analysis and 3D image reconstruction. Guillaume has worked on medical applications for Diabetic Retinopathy, tumour detection and on industrial applications for quality control and 3D imaging. He has been published in several journals and has obtained several patents in these fields. He has led several scientific joint efforts between industry and public research centres. Dr. Noyel joined IPRI in 2014 as a Research Director. He is a Visiting Researcher in the Department of Mathematics and Statistics, of the University of Strathclyde, Glasgow, United Kingdom. In 2021, he obtained his Accreditation to supervise Research (Habilitation à Diriger des Recherches) from the University of Reims Champagne-Ardenne, France, in the field of Computer Vision. He also joined Télécom Saint-Etienne and Hubert Curien Lab from Jean Monnet University in Saint-Etienne, France, as a lecturer and researcher.
Publications
- 27
- 15
- 13
- 12
- 12
- 10
- 9
- 9
- 9
- 8
- 7
- 7
- 6
- 6
- 5
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 8
|
|
Logarithmic Morphological Neural Nets robust to lighting variationsDGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France. pp.462-474, ⟨10.1007/978-3-031-19897-7_36⟩
Communication dans un congrès
hal-03645285v2
|
|
|
Retinal vessel segmentation by probing adaptive to lighting variations2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), IEEE, Apr 2020, Iowa City, United States. pp.1246-1249, ⟨10.1109/ISBI45749.2020.9098332⟩
Communication dans un congrès
hal-02556835v1
|
|
|
Registration of retinal images from Public Health by minimising an error between vessels using an affine model with radial distortionsIEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), IEEE, Apr 2019, Venice, Italy. pp.561-564, ⟨10.1109/ISBI.2019.8759415⟩
Communication dans un congrès
hal-02099845v1
|
|
|
A Link Between the Multiplicative and Additive Functional Asplund’s Metrics14th International Symposium on Mathematical Morphology (ISMM 2019), Saarland University, Jul 2019, Saarbrücken, Germany. pp.41-53, ⟨10.1007/978-3-030-20867-7_4⟩
Communication dans un congrès
hal-02183488v1
|
|
|
Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithmsPhysics and Mechanics of Random Structures: from Morphology to Material Properties, Jun 2018, Ile d'Oléron, France. pp.5-7
Communication dans un congrès
hal-01822522v1
|
|
|
Logarithmic mathematical morphology: a new framework adaptive to illumination changes23rd Iberoamerican Congress on Pattern Recognition (CIARP 2018), Nov 2018, Madrid, Spain. pp.453-461, ⟨10.1007/978-3-030-13469-3_53⟩
Communication dans un congrès
hal-01789693v3
|
|
|
Double-sided probing by map of Asplund's distances using Logarithmic Image Processing in the framework of Mathematical Morphology13th International Symposium on Mathematical Morphology (ISMM 2017), May 2017, Fontainebleau, France. pp.408-420, ⟨10.1007/978-3-319-57240-6_33⟩
Communication dans un congrès
hal-01435269v5
|
|
|
Speeding up the Köhler's method of contrast thresholdingIEEE International Conference on Image Processing ICIP 2017, IEEE, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8296295⟩
Communication dans un congrès
hal-01561475v2
|
Enhancing Eye Fundus Images for Diabetic Retinopathy ScreeningAmerican Diabetes Association 77th Scientific Sessions - ADA2017, American Diabetes Association, Jun 2017, San Diego, CA, United States
Communication dans un congrès
hal-03162202v1
|
|
|
|
A simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law12th European Congress for Stereology and Image Analysis 2017 (ECSIA 2017), University of Kaiserslautern; Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM), Sep 2017, Kaiserslautern, Germany
Communication dans un congrès
hal-01576183v2
|
|
|
Spatio-Colour Asplünd 's Metric and Logarithmic Image Processing for Colour Images (LIPC)21st Iberoamerican Congress on Pattern Recognition (CIARP 2016), International Association for Pattern Recognition (IAPR), Nov 2016, Lima, Peru. pp.36-43, ⟨10.1007/978-3-319-52277-7_5⟩
Communication dans un congrès
hal-01316581v3
|
|
|
Asplünd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate imagesIEEE International Conference on Image Processing ICIP 2015, IEEE Signal Processing Society, Sep 2015, Québec City, Canada. pp.3921 - 3925, ⟨10.1109/ICIP.2015.7351540⟩
Communication dans un congrès
hal-01215504v2
|
Contrast enhancement of eye fundus imagesIDF2015 - World Diabetes Congress, International Diabetes Federation, Nov 2015, Vancouver, Canada. ⟨10.13140/RG.2.1.3180.9367⟩
Communication dans un congrès
hal-03162208v1
|
|
Hyperspectral mathematical morphology applied to DCE-MRI series for angiogenesis imaging15th European Conference on Mathematics for Industry (ECMI'2008), University College London, Jul 2008, Londres, United Kingdom
Communication dans un congrès
hal-00904082v1
|
|
|
|
Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), May 2008, Paris, France. pp.1517-1520, ⟨10.1109/ISBI.2008.4541297⟩
Communication dans un congrès
hal-00834030v2
|
|
|
Classification-Driven Stochastic Watershed: Application to Multispectral Segmentation4th European Conference on Colour in Graphics, Imaging, and Vision and 10th International Symposium on Multispectral Colour Science (CGIV 2008/MCS'08), Jun 2008, Terrassa - Barcelona, Spain. pp.471-476
Communication dans un congrès
hal-00830667v1
|
|
|
On distances, paths and connections for hyperspectral image segmentation8th International Symposium on Mathematical Morphology (ISMM 2007), Oct 2007, Rio de Janeiro, Brazil. pp.399-410
Communication dans un congrès
hal-01264013v1
|
|
|
Morphological segmentation of hyperspectral images - ICSXII12th International Congress for Stereology (ICS XII), Université Jean Monnet, Aug 2007, Saint-Etienne, France
Communication dans un congrès
hal-02958884v1
|
|
|
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation11th International Conference Knowledge-Based Intelligent Information and Engineering Systems (KES 2007), Sep 2007, Vietri sul Mare, Salerno, Italy. pp.17-24, ⟨10.1007/978-3-540-74829-8_3⟩
Communication dans un congrès
hal-01263963v1
|
|
|
Registration of retinal images from Public Health by minimising an error between vessels using an affine model with radial distortionsIEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Apr 2019, Venice, Italy. , 2019
Poster de conférence
hal-02099855v1
|
|
|
Logarithmic mathematical morphology: a new framework adaptive to illumination changesPoster de conférence hal-01957566v1 |
|
|
Enhancing Eye Fundus Images for Diabetic Retinopathy ScreeningAmerican Diabetes Association 77th Scientific Sessions - ADA2017, Jun 2017, San Diego, CA, United States. , 608-P / 608, 2017
Poster de conférence
hal-01539980v1
|
|
|
Contrast enhancement of eye fundus imagesInternational Diabetes Federation. IDF2015 - World Diabetes Congress, Nov 2015, Vancouver, Canada. , IDF2015 - World Diabetes Congress 2015, 1110-P, 2015, ⟨10.13140/RG.2.1.3180.9367⟩
Poster de conférence
hal-01243876v1
|
|
|
Segmentations d'Images Hyperspectrales Par Morphologie MathématiqueEcole d'Hiver d'imagerie Numérique Couleur, Jan 2007, Poitiers, France
Poster de conférence
hal-04062907v1
|
|
|
Regionalized Random Germs by a Classification for Probabilistic Watershed Application: Angiogenesis Imaging SegmentationAlistair D. Fitt, John Norbury, Hilary Ockendon, and Eddie Wilson. Progress in Industrial Mathematics at ECMI 2008, Springer, pp.211-216, 2010, Mathematics in Industry, 978-3-642-12109-8. ⟨10.1007/978-3-642-12110-4_29⟩
Chapitre d'ouvrage
hal-00834452v1
|
|
|
Logarithmic Mathematical Morphology: theory and applications2023
Pré-publication, Document de travail
hal-04192855v1
|
|
|
Filtrage, réduction de dimension, classification et segmentation morphologique hyperspectraleMathématiques [math]. École Nationale Supérieure des Mines de Paris, 2008. Français. ⟨NNT : 2008ENMP1558⟩
Thèse
pastel-00004473v1
|
|
|
Analyse morphologique et logarithmique de grandes banques d'imagesVision par ordinateur et reconnaissance de formes [cs.CV]. Université de Reims Champagne-Ardenne, 2021
HDR
tel-03343079v1
|