HWOA: A hybrid whale optimization algorithm with a novel local minima avoidance method for multi-level thresholding color image segmentation

Faculty Computer Science Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Nabil Moustafa AbdelAziz
Journal: Expert Systems with Applications Elsevier Volume:
Keywords : HWOA: , hybrid whale optimization algorithm with    
Abstract:
Traditional methods to address color image segmentation work efficiently for bi-level thresholding. However, for multi-level thresholding, traditional methods suffer from time complexity that increases exponentially with the increasing numb
    
     
 
       

Author Related Publications

  • Nabil Moustafa AbdelAziz, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015 More
  • Nabil Moustafa AbdelAziz, "Enhancing ArcGIS Decision Making Capabilities Using an Intelligent Multicriteria Decision Analysis Toolbox", International Society for Environmental Information Sciences., 2012 More
  • Nabil Moustafa AbdelAziz, "An Expert System for Choosing the Suitable MCDM Method for solving A Spatial Decision Problem", Alex, Egypt, 2009 More
  • Nabil Moustafa AbdelAziz, "Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study", Tech Science Press, 2021 More
  • Nabil Moustafa AbdelAziz, "Green Communication for Sixth-Generation Intent-Based Networks: An Architecture Based on Hybrid Computational Intelligence Algorithm", Hindawi, 2021 More

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