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Functional Asplund's metrics for pattern matching robust to variable lighting conditions

, and . (2019)cite arxiv:1909.01585.

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Logarithmic Mathematical Morphology: A New Framework Adaptive to Illumination Changes.. CIARP, volume 11401 of Lecture Notes in Computer Science, page 453-461. Springer, (2018)Fast computation of all pairs of geodesic distances., , and . CoRR, (2020)Double-Sided Probing by Map of Asplund's Distances Using Logarithmic Image Processing in the Framework of Mathematical Morphology., and . ISMM, volume 10225 of Lecture Notes in Computer Science, page 408-420. (2017)Speeding up the köhler's method of contrast thresholding.. ICIP, page 320-324. IEEE, (2017)Asplünd's metric defined in the logarithmic image processing (LIP) framework for colour and multivariate images., and . ICIP, page 3921-3925. IEEE, (2015)Retinal Vessel Segmentation by Probing Adaptive to Lighting Variations., , , and . ISBI, page 1246-1249. IEEE, (2020)Double-sided probing by map of Asplünd's distances using Logarithmic Image Processing in the framework of Mathematical Morphology., and . CoRR, (2017)Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms., and . CoRR, (2019)On distances, paths and connections for hyperspectral image segmentation., , and . ISMM (1), page 399-410. MCT/INPE, (2007)A simple expression for the map of Asplund's distances with the multiplicative Logarithmic Image Processing (LIP) law., and . CoRR, (2017)