Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination

Salt and pepper (SAP) noise elimination is a crucial step for further image processing and pattern recognition applications. The main aim of this article is to propose a novel SAP noise elimination method which employs a regression-based neuro-fuzzy network for highly corrupted gray scale and color...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2020-06, Vol.28 (6), p.1084-1095
Hauptverfasser:	Caliskan, Abdullah, Cil, Zeynel Abidin, Badem, Hasan, Karaboga, Dervis
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial bee colony (ABC) Artificial bee colony algorithm Artificial neural networks Color imagery decision tree (DT) Decision trees Fuzzy logic Fuzzy neural networks Fuzzy systems Image edge detection Image processing impulse noise Microsoft Windows neuro-fuzzy (NF) network Noise Noise measurement Noise reduction Object recognition Pattern recognition Search algorithms Signal to noise ratio Swarm intelligence
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