2 citations · 3 across the 2 of their papers we have counts for
4 papers
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…
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…