Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

R Rai, A Das, KG Dhal - Evolving Systems, 2022 - Springer
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Multi-level thresholding image segmentation based on nature-inspired optimization algorithms: a comprehensive review

EH Houssein, E Helmy, D Oliva, AA Elngar… - … in machine learning …, 2021 - Springer
Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …

Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation

KG Dhal, A Das, S Ray, J Gálvez, S Das - Archives of Computational …, 2020 - Springer
In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

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 …

Multilevel thresholding segmentation for color image using modified moth-flame optimization

H Jia, JUN Ma, W Song - IEEE Access, 2019 - ieeexplore.ieee.org
Multilevel thresholding has got more attention in the field of image segmentation recently.
However, it is still challenging and complicated for color image segmentation in many …

Modified artificial ecosystem-based optimization for multilevel thresholding image segmentation

AA Ewees, L Abualigah, D Yousri, AT Sahlol… - Mathematics, 2021 - mdpi.com
Multilevel thresholding is one of the most effective image segmentation methods, due to its
efficiency and easy implementation. This study presents a new multilevel thresholding …

SCGJO: A hybrid golden jackal optimization with a sine cosine algorithm for tackling multilevel thresholding image segmentation

J Zhang, G Zhang, M Kong, T Zhang - Multimedia Tools and Applications, 2024 - Springer
Multilevel thresholding is a fundamental, substantial and constructive technique that has
been widely recognized and concerned in recent years. However, the computational …

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 …

[PDF][PDF] Multilevel thresholding using a modified ant lion optimizer with opposition-based learning for color image segmentation

S Wang, K Sun, W Zhang, H Jia - Math. Biosci. Eng, 2021 - aimspress.com
Multilevel thresholding has important research value in image segmentation and can
effectively solve region analysis problems of complex images. In this paper, Otsu and …

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 …