ReviewEvolving systems2022
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review.
Review in Evolving systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Multi-Mechanism Artificial Lemming Algorithm for Global Optimization and Color Multi-Threshold Image Segmentation.Biomimetics (Basel, Switzerland) · 2026Article
- On Bio-Inspired Strategies for Flow Control, Fluid-Structure Interaction, and Thermal Transport.Biomimetics (Basel, Switzerland) · 2026Review
- GSCI: A Generative and Sparse Compressed Sensing Imputation Framework for Single-Cell RNA-Sequencing Dropout Recovery.Computational and structural biotechnology journal · 2026Article
- Multilevel thresholding of color images using globally informed artificial bee colony algorithm.Scientific reports · 2025Article
- A multi-strategy improved crow search algorithm for multi-level thresholding image segmentation.Scientific reports · 2025Article
- A Machine Learning Approach to Quantitative Analysis of Enamel Microstructure from Scanning Electron Microscopy Images.Small structures · 2025Article
- Improved genetic algorithm for multi-threshold optimization in digital pathology image segmentation.Scientific reports · 2024Article
- An efficient multi-level thresholding method for breast thermograms analysis based on an improved BWO algorithm.BMC medical imaging · 2024Article
- An efficient hybrid differential evolution-golden jackal optimization algorithm for multilevel thresholding image segmentation.PeerJ. Computer science · 2024Article
- Medical image segmentation based on simulated annealing and opposition-based learning island algorithm.PloS one · 2024Article
- Multilevel Threshold Segmentation of Skin Lesions in Color Images Using Coronavirus Optimization Algorithm.Diagnostics (Basel, Switzerland) · 2023Article
- Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications.Archives of computational methods in engineering : state of the art reviews · 2023Article
- A survey on recent trends in deep learning for nucleus segmentation from histopathology images.Evolving systems · 2023Review
- A Comprehensive Survey on Arithmetic Optimization Algorithm.Archives of computational methods in engineering : state of the art reviews · 2023Article
- An Inclusive Survey on Marine Predators Algorithm: Variants and Applications.Archives of computational methods in engineering : state of the art reviews · 2023Review
- Archimedes Optimizer: Theory, Analysis, Improvements, and Applications.Archives of computational methods in engineering : state of the art reviews · 2023Article
- Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding.Archives of computational methods in engineering : state of the art reviews · 2022Article
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3 authors.
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Abstract
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in image segmentation that can efficiently resolve difficulties aroused while analyzing the segmented regions of multifaceted images with complicated nonlinear conditions. MLT being a simple exponential combinatorial optimization problem is commonly phrased by means of a sophisticated objective function requirement that can only be addressed by nondeterministic approaches. Consequently, researchers are engaging Nature-Inspired Optimization Algorithms (NIOA) as an alternate methodology that can be widely employed for resolving problems related to MLT. This paper delivers an acquainted review related to novel NIOA shaped lately in last three years (2019-2021) highlighting and exploring the major challenges encountered during the development of image multi-thresholding models based on NIOA.
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