Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: Comparative analysis, open challenges and new trends
This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …
optimization methods and their applications. Image segmentation is a common problem in …
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
S Zhao, P Wang, AA Heidari, H Chen… - Computers in Biology …, 2021 - Elsevier
Image segmentation is an essential pre-processing step and is an indispensable part of
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …
An efficient multilevel color image thresholding based on modified whale optimization algorithm
Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …
applications. In threshold-based segmentation, the success of the image segmentation …
Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation
S Hao, C Huang, AA Heidari, Q Shao… - Multimedia Tools and …, 2024 - Springer
COVID-19 X-ray images are a vital approach for diagnosing whether a patient has an
infection. By using multi-threshold image segmentation (MIS) technology to segment the …
infection. By using multi-threshold image segmentation (MIS) technology to segment the …
Transfer learning approach and nucleus segmentation with medclnet colon cancer database
Abstract Machine learning has been recently used especially in the medical field. In the
diagnosis of serious diseases such as cancer, deep learning techniques can be used to …
diagnosis of serious diseases such as cancer, deep learning techniques can be used to …
A new hybrid method based on Aquila optimizer and tangent search algorithm for global optimization
S Akyol - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Since no single algorithm can provide the optimal solutions for all problems, new
metaheuristic methods are always being proposed or developed by combining current …
metaheuristic methods are always being proposed or developed by combining current …
CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration
M Abdel-Basset, R Mohamed, I Alrashdi, KM Sallam… - Journal of Big Data, 2024 - Springer
Abstract Chest diseases, especially COVID-19, have quickly spread throughout the world
and caused many deaths. Finding a rapid and accurate diagnostic tool was indispensable to …
and caused many deaths. Finding a rapid and accurate diagnostic tool was indispensable to …
An experimentation of objective functions used for multilevel thresholding based image segmentation using particle swarm optimization
For image segmentation, multilevel thresholding is treated as one of the widely used
approach. However, this approach has a major issue that is it suffers of high computational …
approach. However, this approach has a major issue that is it suffers of high computational …
Modeling trust decision-making of Indonesian food and beverage SME groups in the adoption of Industry 4.0
This study aimed to model a trust decision-making of Indonesian small and medium-sized
enterprise (SME) groups in the adoption of Industry 4.0 namely, ergonomic, machinery, and …
enterprise (SME) groups in the adoption of Industry 4.0 namely, ergonomic, machinery, and …
Enhancing metaheuristic optimization: a novel nature-inspired hybrid approach incorporating selected pseudorandom number generators
M Gulić, M Žuškin - Algorithms, 2023 - mdpi.com
In this paper, a hybrid nature-inspired metaheuristic algorithm based on the Genetic
Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively …
Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively …