Unrestricted Sequential Discrete Morphological Neural Networks

There have been attempts to insert mathematical morphology (MM) operators into convolutional neural networks (CNN), and the most successful endeavor to date has been the morphological neural networks (MNN). Although MNN have performed better than CNN in solving some problems, they inherit their blac...

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Veröffentlicht in:	Journal of mathematical imaging and vision Jg. 67; H. 4; S. 39
Hauptverfasser:	Marcondes, Diego, Feldman, Mariana, Barrera, Junior
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2025 Springer Nature B.V
Schlagworte:	Algorithms Applications of Mathematics Artificial neural networks Boolean Classification Computer architecture Computer Science Datasets Image processing Image Processing and Computer Vision Infimum Machine learning Mathematical Methods in Physics Mathematical morphology Morphology Neural networks Operators (mathematics) Signal,Image and Speech Processing Transformations (mathematics) image processing mathematical morphology U-curve algorithms discrete morphological neural networks image classification stochastic lattice descent algorithm
ISSN:	0924-9907, 1573-7683
Online-Zugang:	Volltext
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