On distances, paths and connections for hyperspectral image segmentation. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin (ISMM (1), 2007)

Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin (KES (3), 2007)

Classification-driven stochastic watershed. Application to multispectral segmentation. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin (CGIV/MCS, 2008)

Filtering, segmentation and region classification by hyperspectral mathematical morphology of DCE-MRI series for angiogenesis imaging. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin; Daniel Balvay; Charles-André Cuenod (ISBI, 2008)

Asplünd's metric defined in the logarithmic image processing (LIP) framework for colour and multivariate images. - Guillaume Noyel; Michel Jourlin (ICIP, 2015)

Spatio-Colour Asplünd's Metric and Logarithmic Image Processing for Colour Images (LIPC). - Guillaume Noyel; Michel Jourlin (CIARP, 2016)

A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin (CoRR, 2016)

Superimposition of eye fundus images for longitudinal analysis from large public health databases. - Guillaume Noyel; Rebecca Thomas; Gavin Bhakta; Andrew Crowder; David Owens 001; Peter Boyle (CoRR, 2016)

Speeding up the köhler's method of contrast thresholding. - Guillaume Noyel (ICIP, 2017)

Double-Sided Probing by Map of Asplund's Distances Using Logarithmic Image Processing in the Framework of Mathematical Morphology. - Guillaume Noyel; Michel Jourlin (ISMM, 2017)

Speeding up the K{ö}hler's method of contrast thresholding. - Guillaume Noyel (CoRR, 2017)

A simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law. - Guillaume Noyel; Michel Jourlin (CoRR, 2017)

Logarithmic Mathematical Morphology: A New Framework Adaptive to Illumination Changes. - Guillaume Noyel (CIARP, 2018)

Aspl{ü}nd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate images. - Guillaume Noyel; Michel Jourlin (CoRR, 2018)

Logarithmic Mathematical Morphology: a new framework robust to illumination changes. - Guillaume Noyel (CoRR, 2018)

Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms. - Michel Jourlin; Guillaume Noyel (CoRR, 2018)

Registration Of Retinal Images From Public Health By Minimising An Error Between Vessels Using An Affine Model With Radial Distortions. - Guillaume Noyel; Rebecca Thomas; Simon Iles; Gavin Bhakta; Andrew Crowder; David R. Owens; Peter Boyle (ISBI, 2019)

A Link Between the Multiplicative and Additive Functional Asplund's Metrics. - Guillaume Noyel (ISMM, 2019)

Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms. - Guillaume Noyel; Michel Jourlin (CoRR, 2019)

Functional Asplund's metrics for pattern matching robust to variable lighting conditions. - Guillaume Noyel; Michel Jourlin (CoRR, 2019)

Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin; Daniel Balvay; Charles-André Cuenod (CoRR, 2019)

Retinal Vessel Segmentation by Probing Adaptive to Lighting Variations. - Guillaume Noyel; Christine Vartin; Peter Boyle; Laurent Kodjikian (ISBI, 2020)

Fast computation of all pairs of geodesic distances. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin (CoRR, 2020)

Morphological segmentation of hyperspectral images. - Guillaume Noyel; Jesús Angulo; Dominique Jeulin (CoRR, 2020)

Analyse morphologique et logarithmique de grandes banques d'images. (Morphological and logarithmic analysis of large image databases). - Guillaume Noyel (2021)

Logarithmic Morphological Neural Nets Robust to Lighting Variations. - Guillaume Noyel; Emile Barbier–Renard; Michel Jourlin; Thierry Fournel (DGMM, 2022)

Logarithmic Mathematical Morphology: theory and applications. - Guillaume Noyel (CoRR, 2023)