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
  • Hanaa Mohamed Hamza Kamal, "Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map", MDPI, 2023 More
  • 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

  • Osama Mohamed Abdelsalam Ahmed Elkomy, "MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans", IEEE, 2021 More
  • Osama Mohamed Abdelsalam Ahmed Elkomy, "Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans.", ELSEVIER, 2021 More
  • Osama Mohamed Abdelsalam Ahmed Elkomy, "Efficient model for emergency departments: Real case study", Computers, Materials and ContinuaComputers, Materials and Continua, 2022 More
  • Ehab Roshdy Mohamed, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020 More
  • Khalied Mohamed Hosny, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020 More
Tweet