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Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms

Abstract : 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 introduced, one based on the LIP addition and the other based on the LIP scalar multiplication. Such tools are able to manage Region Growing algorithms following the Revol's technique: starting from an initial seed, they consist of applying specific dilations to the growing region while its inhomogeneity level does not exceed a certain level. The new approaches we introduce are significantly improving Revol's existing technique by making it robust to contrast variations in images. Such a property strongly reduces the chaining effect arising in region growing processes.
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https://hal.archives-ouvertes.fr/hal-01822522
Contributor : Guillaume Noyel <>
Submitted on : Monday, June 25, 2018 - 11:42:12 AM
Last modification on : Tuesday, June 23, 2020 - 10:08:02 AM
Long-term archiving on: : Wednesday, September 26, 2018 - 1:16:30 PM

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  • HAL Id : hal-01822522, version 1
  • ARXIV : 1806.10472

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Michel Jourlin, Guillaume Noyel. Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms. Physics and Mechanics of Random Structures: from Morphology to Material Properties, Jun 2018, Ile d'Oléron, France. pp.5-7. ⟨hal-01822522⟩

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