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ORCIDGuillaume Noyel
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2020 – today
- 2023
[i20]Guillaume Noyel:
Logarithmic Mathematical Morphology: theory and applications. CoRR abs/2309.02007 (2023)- 2022
- [c13]Guillaume Noyel
, Emile Barbier--Renard, Michel Jourlin, Thierry Fournel:
Logarithmic Morphological Neural Nets Robust to Lighting Variations. DGMM 2022: 462-474 - [i19]Guillaume Noyel, Emile Barbier--Renard, Michel Jourlin, Thierry Fournel:
Logarithmic Morphological Neural Nets robust to lighting variations. CoRR abs/2204.09319 (2022) - 2021
- [b1]Guillaume Noyel:
Analyse morphologique et logarithmique de grandes banques d'images. (Morphological and logarithmic analysis of large image databases). University of Reims Champagne-Ardenne, France, 2021 - 2020
- [c12]Guillaume Noyel, Christine Vartin, Peter Boyle, Laurent Kodjikian:
Retinal Vessel Segmentation by Probing Adaptive to Lighting Variations. ISBI 2020: 1246-1249 - [i18]Guillaume Noyel, Christine Vartin, Peter Boyle, Laurent Kodjikian:
Retinal vessel segmentation by probing adaptive to lighting variations. CoRR abs/2004.13992 (2020) - [i17]Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
Fast computation of all pairs of geodesic distances. CoRR abs/2007.16076 (2020) - [i16]Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
Morphological segmentation of hyperspectral images. CoRR abs/2010.00853 (2020)
2010 – 2019
- 2019
- [c11]Guillaume Noyel, Rebecca Thomas, Simon Iles, Gavin Bhakta, Andrew Crowder, David R. Owens, Peter Boyle:
Registration Of Retinal Images From Public Health By Minimising An Error Between Vessels Using An Affine Model With Radial Distortions. ISBI 2019: 561-564 - [c10]Guillaume Noyel:
A Link Between the Multiplicative and Additive Functional Asplund's Metrics. ISMM 2019: 41-53 - [i15]Guillaume Noyel, Michel Jourlin:
Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms. CoRR abs/1904.12597 (2019) - [i14]Guillaume Noyel, Rebecca Thomas, Simon Iles, Gavin Bhakta, Andrew Crowder, David R. Owens, Peter Boyle:
Registration of retinal images from Public Health by minimising an error between vessels using an affine model with radial distortions. CoRR abs/1904.12733 (2019) - [i13]Guillaume Noyel:
A Link Between the Multiplicative and Additive Functional Asplund's Metrics. CoRR abs/1907.07509 (2019) - [i12]Guillaume Noyel, Michel Jourlin:
Functional Asplund's metrics for pattern matching robust to variable lighting conditions. CoRR abs/1909.01585 (2019) - [i11]Guillaume Noyel, Jesús Angulo, Dominique Jeulin, Daniel Balvay, Charles-André Cuenod:
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies. CoRR abs/1910.12704 (2019) - 2018
- [c9]Guillaume Noyel:
Logarithmic Mathematical Morphology: A New Framework Adaptive to Illumination Changes. CIARP 2018: 453-461 - [i10]Guillaume Noyel, Michel Jourlin:
Aspl{ü}nd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate images. CoRR abs/1803.00764 (2018) - [i9]Guillaume Noyel:
Logarithmic Mathematical Morphology: a new framework robust to illumination changes. CoRR abs/1806.02998 (2018) - [i8]Michel Jourlin, Guillaume Noyel:
Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms. CoRR abs/1806.10472 (2018) - 2017
- [c8]Guillaume Noyel:
Speeding up the köhler's method of contrast thresholding. ICIP 2017: 320-324 - [c7]Guillaume Noyel, Michel Jourlin:
Double-Sided Probing by Map of Asplund's Distances Using Logarithmic Image Processing in the Framework of Mathematical Morphology. ISMM 2017: 408-420 - [i7]Guillaume Noyel, Michel Jourlin:
Double-sided probing by map of Asplünd's distances using Logarithmic Image Processing in the framework of Mathematical Morphology. CoRR abs/1701.08092 (2017) - [i6]Guillaume Noyel:
Speeding up the K{ö}hler's method of contrast thresholding. CoRR abs/1707.05062 (2017) - [i5]Guillaume Noyel, Michel Jourlin:
A simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law. CoRR abs/1708.08992 (2017) - 2016
- [c6]Guillaume Noyel, Michel Jourlin:
Spatio-Colour Asplünd's Metric and Logarithmic Image Processing for Colour Images (LIPC). CIARP 2016: 36-43 - [i4]Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images. CoRR abs/1602.03145 (2016) - [i3]Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
On distances, paths and connections for hyperspectral image segmentation. CoRR abs/1603.08497 (2016) - [i2]Guillaume Noyel, Rebecca Thomas, Gavin Bhakta, Andrew Crowder, David Owens, Peter Boyle:
Superimposition of eye fundus images for longitudinal analysis from large public health databases. CoRR abs/1607.01971 (2016) - [i1]Guillaume Noyel, Michel Jourlin:
Spatio-colour Asplünd 's metric and Logarithmic Image Processing for Colour Images (LIPC). CoRR abs/1608.08831 (2016) - 2015
- [c5]Guillaume Noyel, Michel Jourlin:
Asplünd's metric defined in the logarithmic image processing (LIP) framework for colour and multivariate images. ICIP 2015: 3921-3925
2000 – 2009
- 2008
- [c4]Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
Classification-driven stochastic watershed. Application to multispectral segmentation. CGIV/MCS 2008: 471-476 - [c3]Guillaume Noyel, Jesús Angulo, Dominique Jeulin, Daniel Balvay, Charles-André Cuenod:
Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging. ISBI 2008: 1517-1520 - 2007
- [c2]Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
On distances, paths and connections for hyperspectral image segmentation. ISMM (1) 2007: 399-410 - [c1]Guillaume Noyel, Jesús Angulo, Dominique Jeulin:
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation. KES (3) 2007: 17-24
Coauthor Index
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