63 citations · 132 across the 20 of their papers we have counts for
15 papers · 1 filter
Logarithmic Morphological Neural Nets robust to lighting variations
Guillaume Noyel, Emile Barbier--Renard, Michel Jourlin +1
Morphological neural networks allow to learn the weights of a structuring function knowing the desired output image. However, those networks are not intrinsically robust to lightin…
Retinal vessel segmentation by probing adaptive to lighting variations
Guillaume Noyel, Christine Vartin, Peter Boyle +1
We introduce a novel method to extract the vessels in eye fun-dus images which is adaptive to lighting variations. In the Logarithmic Image Processing framework, a 3-segment probe…
Functional Asplund metrics for pattern matching, robust to variable lighting conditions
Guillaume Noyel, Michel Jourlin
In this paper, we propose a complete framework to process images captured under uncontrolled lighting and especially under low lighting. By taking advantage of the Logarithmic Imag…
A Link Between the Multiplicative and Additive Functional Asplund's Metrics
Guillaume Noyel
Functional Asplund's metrics were recently introduced to perform pattern matching robust to lighting changes thanks to double-sided probing in the Logarithmic Image Processing (LIP…
Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms
Guillaume Noyel, Michel Jourlin
In order to create an image segmentation method robust to lighting changes, two novel homogeneity criteria of an image region were studied. Both were defined using the Logarithmic…
Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms
Michel Jourlin, Guillaume Noyel
The current paper deals with the role played by Logarithmic Image Processing (LIP) operators for evaluating the homogeneity of a region. Two new criteria of heterogeneity are intro…
Logarithmic mathematical morphology: a new framework adaptive to illumination changes
Guillaume Noyel
A new set of mathematical morphology (MM) operators adaptive to illumination changes caused by variation of exposure time or light intensity is defined thanks to the Logarithmic Im…
Aspl{ü}nd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate images
Guillaume Noyel, Michel Jourlin
Aspl{ü}nd's metric, which is useful for pattern matching, consists in a double-sided probing, i.e. the over-graph and the sub-graph of a function are probed jointly. It has previou…
A simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law
Guillaume Noyel, Michel Jourlin
We introduce a simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law. It is a difference between a morphological dilat…
Speeding up the Köhler's method of contrast thresholding
Guillaume Noyel
K{ö}hler's method is a useful multi-thresholding technique based on boundary contrast. However, the direct algorithm has a too high complexity-O(N 2) i.e. quadratic with the pixel…
Double-sided probing by map of Asplund's distances using Logarithmic Image Processing in the framework of Mathematical Morphology
Guillaume Noyel, Michel Jourlin
We establish the link between Mathematical Morphology and the map of Asplund's distances between a probe and a grey scale function, using the Logarithmic Image Processing scalar mu…
Spatio-Colour Asplünd 's Metric and Logarithmic Image Processing for Colour Images (LIPC)
Guillaume Noyel, Michel Jourlin
Asplünd 's metric, which is useful for pattern matching, consists in a double-sided probing, i.e. the over-graph and the sub-graph of a function are probed jointly. This paper exte…
Superimposition of eye fundus images for longitudinal analysis from large public health databases
Guillaume Noyel, Rebecca Thomas, Gavin Bhakta +3
In this paper, a method is presented for superimposition (i.e. registration) of eye fundus images from persons with diabetes screened over many years for diabetic retinopathy. The…
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images
Guillaume Noyel, Jesus Angulo, Dominique Jeulin
A general framework of spatio-spectral segmentation for multi-spectral images is introduced in this paper. The method is based on classification-driven stochastic watershed (WS) by…
On distances, paths and connections for hyperspectral image segmentation
Guillaume Noyel, Jesus Angulo, Dominique Jeulin
The present paper introduces the and η connections in order to add regional information on -flat zones, which only take into account a local information. A top-down approach…