Image segmentation using multilevel thresholding: a research review
Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …
applications. Over the years, commonly used image segmentation has become quite …
Image segmentation review: Theoretical background and recent advances
Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
M Abdel-Basset, V Chang, R Mohamed - Applied soft computing, 2020 - Elsevier
Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation
Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …
recent years since it has many applications. There are several methods used to find the …
A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy
M Abdel-Basset, R Mohamed, M Elhoseny… - IEEE …, 2020 - ieeexplore.ieee.org
Many countries are challenged by the medical resources required for COVID-19 detection
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
Advances in Intelligent Systems and Computing
LY Cheng - 2021 - Springer
This volume contains the proceedings of the 7th Euro-China Conference on Intelligent Data
Analysis and Applications (ECC 2021), which is hosted by Communication University of …
Analysis and Applications (ECC 2021), which is hosted by Communication University of …
Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms
In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
HWOA: A hybrid whale optimization algorithm with a novel local minima avoidance method for multi-level thresholding color image segmentation
M Abdel-Basset, R Mohamed, NM AbdelAziz… - Expert Systems with …, 2022 - Elsevier
Traditional methods to address color image segmentation work efficiently for bi-level
thresholding. However, for multi-level thresholding, traditional methods suffer from time …
thresholding. However, for multi-level thresholding, traditional methods suffer from time …
A survey of bacterial foraging optimization
Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …
Social spiders optimization and flower pollination algorithm for multilevel image thresholding: a performance study
In this paper, we investigate the ability of two new nature-inspired metaheuristics namely the
flower pollination (FP) and the social spiders optimization (SSO) algorithms to solve the …
flower pollination (FP) and the social spiders optimization (SSO) algorithms to solve the …