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Abstract: This paper is devoted to construct an algorithm based on morphological filters, for global optimization of functions in big dimensions.
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Résumé—This paper is devoted to construct an algorithm ba- sed on morphological filters, for global optimization of functions in big dimensions.
In this short contribution, a brief overview of the global HI morphologies will be presented along with some statistics on the occurrence of tidal interactions, ...
An optimization method of the mathematical morphological filter is proposed. This method is based on the concept of learning by the simulated annealing.
A morphological filter is a type of nonlinear image processing technique that is used for tasks such as shape analysis, noise suppression, ...
In this paper a novel method for optimal learning of morphological filtering parameters (Genetic training algorithm for morphological lters, GTAMF) is presented ...
Morphological filters (MFs) are used to clean up segmentation masks and achieve a change in morphology and/or size of the objects.
Missing: optimization. | Show results with:optimization.
Dec 22, 2022 · This paper proposes a novel stochastic optimization approach named optimization by morphological filter (OMF) for solving the combined economic emission ...
In order to ensure manufacturability and mesh-independence in density-based topology opti- mization schemes it is imperative to use restriction methods.
Morphological filters are an important class of nonlinear digital signal processing and analysis filters, which have found a range of applications, ...