5 citations · 21 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
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…
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…