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Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function
Faculty
Computer Science
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Hanaa Mohamed Hamza Kamal
Staff Zu Site
Abstract In Staff Site
Journal:
Neural Computing and Applications Springer Link
Volume:
Keywords :
Multilevel thresholding satellite image segmentation using
Abstract:
Image segmentation is a critical step in digital image processing applications. One of the most preferred methods for image segmentation is multilevel thresholding, in which a set of threshold values is determined to divide an image into di
Author Related Publications
Hanaa Mohamed Hamza Kamal, "Multimedia Security Using Encryption: A Survey", IEEE, 2023
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Hanaa Mohamed Hamza Kamal, "Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map", MDPI, 2023
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Hanaa Mohamed Hamza Kamal, "Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function", Springer, 2023
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Hanaa Mohamed Hamza Kamal, "MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems", Springer, 2023
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Hanaa Mohamed Hamza Kamal, "Multilevel segmentation of 2D and volumetric medical images using hybrid Coronavirus Optimization Algorithm", Elsevier Ltd, 2022
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Department Related Publications
Walid Ibrahim Ibrahim Khedr, "Ad-hoc on Demand Authentication Chain Protocol - An Authentication Protocol for Ad-Hoc Networks", Institute for Systems and Technologies of Information, Control and Communication, 2015
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Khalied Mohamed Hosny, "Robust Color Image Hashing Using Quaternion Polar Complex Exponential Transform for Image Authentication", Springer, 2018
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Khalied Mohamed Hosny, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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Ehab Roshdy Mohamed, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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Asmaa Mohamed Khalid Mohamed Abbas, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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