63 citations · 132 across the 20 of their papers we have counts for
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cs.CV2018★ 1 cited
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…
cs.CV2018★ 1 cited
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…
cs.CV2018★ 5 cited
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…