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Found 8 papers, 0 papers with code
Logarithmic Morphological Neural Nets robust to lighting variations
In this paper, we introduce a morphological neural network which possesses such a robustness to lighting variations.
Functional Asplund metrics for pattern matching, robust to variable lighting conditions
Importantly, they are efficient to detect patterns in low-contrast images with a template acquired under a different lighting.
Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms
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.
Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms
The current paper deals with the role played by Logarithmic Image Processing (LIP) operators for evaluating the homogeneity of a region.
Aspl{ü}nd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate images
Our contribution consists in extending the Aspl{\"u}nd's metric to colour and multivariate images using the LIP framework.
A simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law
We introduce a simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law.
Double-sided probing by map of Asplund's distances using Logarithmic Image Processing in the framework of Mathematical Morphology
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.
Spatio-Colour Asplünd 's Metric and Logarithmic Image Processing for Colour Images (LIPC)
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.
