no code implementations • 5 Sep 2023 • Guillaume Noyel
Classically, in Mathematical Morphology, an image (i. e., a grey-level function) is analysed by another image which is named the structuring element or the structuring function.
no code implementations • 20 Apr 2022 • Guillaume Noyel, Emile Barbier--Renard, Michel Jourlin, Thierry Fournel
In this paper, we introduce a morphological neural network which possesses such a robustness to lighting variations.
no code implementations • 2 Oct 2020 • Guillaume Noyel, Jesus Angulo, Dominique Jeulin
The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i. e., with an important number of channels.
no code implementations • 29 Apr 2020 • Guillaume Noyel, Christine Vartin, Peter Boyle, Laurent Kodjikian
In a lowly contrasted image, results show that our method better extract the vessels than another state-of the-art method.
no code implementations • 28 Oct 2019 • Guillaume Noyel, Jesus Angulo, Dominique Jeulin, Daniel Balvay, Charles-André Cuenod
A full multivariate segmentation method based on dimensionality reduction, noise filtering, supervised classification and stochastic watershed is explained and tested on several data sets.
no code implementations • 4 Sep 2019 • Guillaume Noyel, Michel Jourlin
Importantly, they are efficient to detect patterns in low-contrast images with a template acquired under a different lighting.
no code implementations • 17 Jul 2019 • Guillaume Noyel
It will be shown that the map of LIP-additive Asplund's distances of an image can be computed from the map of the LIP-multiplicative Asplund's distance of a transform of this image and vice-versa.
no code implementations • 17 Apr 2019 • Guillaume Noyel, Michel Jourlin
The second, the LIP-multiplicative homogeneity criterion, is based on the LIP-multiplicative law and is insensitive to changes due to variations of the object thickness or opacity.
no code implementations • 17 Apr 2019 • Guillaume Noyel, R. Thomas, S Iles, G Bhakta, A Crowder, D. Owens, P. Boyle
In order to estimate a registration model of eye fundus images made of an affinity and two radial distortions, we introduce an estimation criterion based on an error between the vessels.
no code implementations • 27 Jun 2018 • 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.
no code implementations • 8 Jun 2018 • 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 Image Processing (LIP) model.
no code implementations • 2 Mar 2018 • Guillaume Noyel, Michel Jourlin
Our contribution consists in extending the Aspl{\"u}nd's metric to colour and multivariate images using the LIP framework.
no code implementations • 23 Aug 2017 • Guillaume Noyel, Michel Jourlin
We introduce a simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law.
no code implementations • 17 Jul 2017 • Guillaume Noyel
K{\"o}hler's method is a useful multi-thresholding technique based on boundary contrast.
no code implementations • 27 Jan 2017 • Guillaume Noyel, Michel Jourlin
Using a flat structuring element, the expression of the map of Asplund's distances can be simplified with a dilation and an erosion of the image; these mappings stays in the lattice of the images.
no code implementations • 31 Aug 2016 • Guillaume Noyel, Michel Jourlin
Aspl\"und '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.
no code implementations • 7 Jul 2016 • Guillaume Noyel, Rebecca Thomas, Gavin Bhakta, Andrew Crowder, David Owens, Peter Boyle
The method has been validated (1) on a simulated montage and (2) on public health databases with 69 patients with high quality images (271 pairs acquired mostly with different types of camera and 268 pairs acquired mostly with the same type of camera) with success rates of 92% and 98%, and five patients (20 pairs) with low quality images with a success rate of 100%.
no code implementations • 9 Feb 2016 • Guillaume Noyel, Jesus Angulo, Dominique Jeulin
Subsequently, a probability density function (pdf) of contours containing spatial and spectral information is estimated by simulation using a stochastic WS approach driven by the spectral classification.
no code implementations • 2 Feb 2016 • Guillaume Noyel, Jesus Angulo, Dominique Jeulin
Then a finer segmentation is obtained by computing $\eta$-bounded regions and $\mu$-geodesic balls inside the $\lambda$-flat zones.