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
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 More
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  • Hanaa Mohamed Hamza Kamal, "Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function", Springer, 2023 More
  • Hanaa Mohamed Hamza Kamal, "MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems", Springer, 2023 More
  • Hanaa Mohamed Hamza Kamal, "Multilevel segmentation of 2D and volumetric medical images using hybrid Coronavirus Optimization Algorithm", Elsevier Ltd, 2022 More

Department Related Publications

  • Nabil Ali Mohamed Lashen, "A SURVEY OF ROUTING PROTOCOLS FOR WIRLESS MESH NETWORKS (WMNS)", AL-AZHAR ENGINEERING TEWELFTH INTERNATIONAL CONFERENCE, 2012 More
  • Khalied Mohamed Hosny, "Multimedia Security Using Encryption: A Survey", IEEE, 2023 More
  • Hanaa Mohamed Hamza Kamal, "Multimedia Security Using Encryption: A Survey", IEEE, 2023 More
  • Nabil Ali Mohamed Lashen, "Multimedia Security Using Encryption: A Survey", IEEE, 2023 More
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