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 …
A new optimized thresholding method using ant colony algorithm for MR brain image segmentation
B Khorram, M Yazdi - Journal of digital imaging, 2019 - Springer
Image segmentation is considered as one of the most fundamental tasks in image
processing applications. Segmentation of magnetic resonance (MR) brain images is also an …
processing applications. Segmentation of magnetic resonance (MR) brain images is also an …
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 …
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
D Zhao, L Liu, F Yu, AA Heidari, M Wang… - Expert Systems with …, 2021 - Elsevier
The ant colony optimization (ACO) is the most exceptionally fundamental swarm-based
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
solver for realizing discrete problems. In order to make it also suitable for solving continuous …
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 …
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm
Medical image segmentation, which is a complex and fundamental step in medical image
processing, can help doctors make more precise decisions on patient diagnosis. Although …
processing, can help doctors make more precise decisions on patient diagnosis. Although …
Sailfish optimizer with Levy flight, chaotic and opposition-based multi-level thresholding for medical image segmentation
Image segmentation is a procedure of dividing the digital image into multiple set of pixels.
The intention of the segmentation is to “transform the representation of medical images into …
The intention of the segmentation is to “transform the representation of medical images into …
A novel hybrid harris hawks optimization for color image multilevel thresholding segmentation
Multilevel thresholding has got more attention in recent years with various successful
applications. However, the implementation becomes more and more complex and time …
applications. However, the implementation becomes more and more complex and time …
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy
The objective of image segmentation is to extract meaningful objects. A meaningful
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems
M Abdel-Basset, V Chang, R Mohamed - Neural Computing and …, 2021 - Springer
Image segmentation is considered a crucial step required for image analysis and research.
Many techniques have been proposed to resolve the existing problems and improve the …
Many techniques have been proposed to resolve the existing problems and improve the …