Image segmentation with Kapur, Otsu and minimum cross entropy based multilevel thresholding aided with cuckoo search algorithm

R Kalyani, PD Sathya, VP Sakthivel - IOP Conference Series …, 2021 - iopscience.iop.org
Color image segmentation is the primary factor to provide the intended information from the
input image. The straightforward method called multilevel thresholding (MLT) is used to …

How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding?

SJ Mousavirad, G Schaefer, H Zhou… - Knowledge-Based …, 2023 - Elsevier
Multi-level image thresholding is a common approach to image segmentation where an
image is divided into several regions based on its histogram. Otsu's method is the most …

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 …

An improved scheme for minimum cross entropy threshold selection based on genetic algorithm

K Tang, X Yuan, T Sun, J Yang, S Gao - Knowledge-Based Systems, 2011 - Elsevier
Image segmentation is one of the most critical tasks in image analysis. Thresholding is
definitely one of the most popular segmentation approaches. Among thresholding methods …

[HTML][HTML] An efficient multilevel image thresholding method based on improved heap-based optimizer

EH Houssein, GM Mohamed, IA Ibrahim… - Scientific Reports, 2023 - nature.com
Image segmentation is the process of separating pixels of an image into multiple classes,
enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method …

A benchmark of population-based metaheuristic algorithms for high-dimensional multi-level image thresholding

SJ Mousavirad, G Schaefer… - 2019 IEEE Congress …, 2019 - ieeexplore.ieee.org
Multi-level image thresholding is a popular approach for image segmentation where the
image is divided into several non-overlapping regions based on the image histogram …

Multilevel minimum cross entropy threshold selection based on particle swarm optimization

PY Yin - Applied mathematics and computation, 2007 - Elsevier
Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …

Modified bacterial foraging algorithm based multilevel thresholding for image segmentation

PD Sathya, R Kayalvizhi - Engineering Applications of Artificial Intelligence, 2011 - Elsevier
Multilevel thresholding is one of the most popular image segmentation techniques. In order
to determine the thresholds, most methods use the histogram of the image. This paper …

Multilevel minimum cross entropy thresholding: A comparative study

B Lei, J Fan - Applied Soft Computing, 2020 - Elsevier
Multilevel thresholding method is one of the most popular techniques in image
segmentation. However, the multilevel thresholding method is time-consuming, its time …

A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation

Y Jiang, WC Yeh, Z Hao, Z Yang - Information Sciences, 2016 - Elsevier
Multilevel thresholding has been one of the most popular image segmentation techniques;
however, most of these techniques are time-consuming. This paper proposes a cooperative …