A multi-level thresholding image segmentation method using hybrid Arithmetic Optimization and Harris Hawks Optimizer algorithms

L Qiao, K Liu, Y Xue, W Tang, T Salehnia - Expert Systems with …, 2024 - Elsevier
Today, image segmentation methods are widely used for various applications, including
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …

[PDF][PDF] Hybrid black widow optimization with iterated greedy algorithm for gene selection problems

M Alweshah, Y Aldabbas, B Abu-Salih, S Oqeil… - Heliyon, 2023 - cell.com
Gene Selection (GS) is a strategy method targeted at reducing redundancy, limited
expressiveness, and low informativeness in gene expression datasets obtained by DNA …

Lean based cycle time reduction in manufacturing companies using black widow based deep belief neural network

SR Vijayakumar, P Suresh - Computers & Industrial Engineering, 2022 - Elsevier
Manufacturing companies in India are looking forward to innovative principles in order to
come out with novel product designs to compete with other companies. Recently the lean …

Energy demand estimation in Turkey according to modes of transportation: Bezier search differential evolution and black widow optimization algorithms-based model …

E Korkmaz - Neural Computing and Applications, 2023 - Springer
In this study, Bezier search differential evolution (BeSD) and black widow optimization
(BWO) algorithms-based estimation models in different forms have been developed to …

A survey and recent advances in black widow optimization: variants and applications

M Shehab, MKY Shambour, MA Abu Hashem… - Neural Computing and …, 2024 - Springer
Artificial Intelligence techniques, such as optimization algorithms, have become essential for
success in many fields. Therefore, most researchers, especially in computer and …

Multilevel colonoscopy histopathology image segmentation using particle swarm optimization techniques

A Kanadath, JAA Jothi, S Urolagin - SN Computer Science, 2023 - Springer
Histopathology image segmentation is a challenging task in medical image processing. This
work aims to segment lesion regions from colonoscopy histopathology images. Initially, the …

A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing

M Amiriebrahimabadi, Z Rouhi, N Mansouri - Archives of Computational …, 2024 - Springer
In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

An improved golden jackal optimization for multilevel thresholding image segmentation

Z Wang, Y Mo, M Cui, J Hu, Y Lyu - Plos one, 2023 - journals.plos.org
Aerial photography is a long-range, non-contact method of target detection technology that
enables qualitative or quantitative analysis of the target. However, aerial photography …

Integration of machine learning and optimization techniques for cardiac health recognition

EH Houssein, IE Ibrahim, M Hassaballah… - … meta-heuristics and …, 2022 - Springer
Cardiovascular disease (CVD) remains the primary reason for illness and death throughout
the world despite tremendous progress in diagnosis and treatment. Artificial intelligence (AI) …

Application of chaos cuckoo search algorithm in computer vision technology

J Fan, W Xu, Y Huang, R Dinesh Jackson Samuel - Soft Computing, 2021 - Springer
Image segmentation is an essential phase in image analysis and computer vision. In
computer vision, image processing denotes the analysis and handling of digital images to …