Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: Comparative analysis, open challenges and new trends

L Abualigah, KH Almotairi, MA Elaziz - Applied Intelligence, 2023 - Springer
This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …

An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation

FS Gharehchopogh, T Ibrikci - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …

A novel evolutionary arithmetic optimization algorithm for multilevel thresholding segmentation of covid-19 ct images

L Abualigah, A Diabat, P Sumari, AH Gandomi - Processes, 2021 - mdpi.com
One of the most crucial aspects of image segmentation is multilevel thresholding. However,
multilevel thresholding becomes increasingly more computationally complex as the number …

A whale optimization algorithm with combined mutation and removing similarity for global optimization and multilevel thresholding image segmentation

J Wang, J Bei, H Song, H Zhang, P Zhang - Applied Soft Computing, 2023 - Elsevier
Because of the problem of the whale optimization algorithm (WOA), such as weak local
search ability, easy fall into local optimality, unable to better balance the exploration and …

An efficient Harris hawks-inspired image segmentation method

E Rodríguez-Esparza, LA Zanella-Calzada… - Expert Systems with …, 2020 - Elsevier
Segmentation is a crucial phase in image processing because it simplifies the
representation of an image and facilitates its analysis. The multilevel thresholding method is …

Firefly algorithm and its variants in digital image processing: A comprehensive review

N Dey, J Chaki, L Moraru, S Fong, XS Yang - Applications of firefly …, 2020 - Springer
The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …

Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm

G Chandrasekaran, NS Kumar, PR Karthikeyan… - IEEE …, 2022 - ieeexplore.ieee.org
System-on-Chip (SoC) is a structure in which semiconductor components are integrated into
a single die. As a result, testing time should be reduced to achieve a low cost for each chip …

A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding

MK Naik, R Panda, A Wunnava, B Jena… - Multimedia Tools and …, 2021 - Springer
The multilevel image thresholding is one of the important steps in multimedia tools to
understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite …

Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation

D Yousri, M Abd Elaziz, S Mirjalili - Knowledge-Based Systems, 2020 - Elsevier
Introducing a novel approach to enhance the diversification and intensification propensities
of the flower pollination algorithm (FPA) is the main aim of this paper. Therefore, the …

An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework

S Sivamohan, SS Sridhar - Neural Computing and Applications, 2023 - Springer
Industry 4.0 enable novel business cases, such as client-specific production, real-time
monitoring of process condition and progress, independent decision making and remote …