ArticleJournal of bionic engineering2023
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation.
Article in Journal of bionic engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
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- Optimizing lung cancer diagnosis using improved fungal growth optimizer-based medical image segmentation.Scientific reports · 2026Article
- A Multi-Strategy Enhanced Bionic-Inspired Secretary Bird Optimization Algorithm for Numerical Optimization and Artistic Image Segmentation.Biomimetics (Basel, Switzerland) · 2026Article
- VMamba-QAG-net: a five-stage pipeline for SYNTAX score computation and decision support in interventional cardiology using X-ray angiography.Frontiers in artificial intelligence · 2026Article
- Enhanced medical image segmentation using optimized bidirectional LSTM and dolphin partner optimizer.PloS one · 2026Article
- An improved crayfish optimization algorithm for solving engineering optimization problems.PloS one · 2026Article
- An Enhanced Slime Mould Algorithm Based on Best-Worst Management for Numerical Optimization Problems.Biomimetics (Basel, Switzerland) · 2025Article
- An improved enterprise development optimizer based on labor migration for numerical optimization.Scientific reports · 2025Article
- Improved salp swarm algorithm-driven deep CNN for brain tumor analysis.Scientific reports · 2025Article
- An Enhanced Snow Geese Optimizer Integrating Multiple Strategies for Numerical Optimization.Biomimetics (Basel, Switzerland) · 2025Article
- Dynamic gold rush optimizer: fusing worker adaptation and salp navigation mechanism for enhanced search.Scientific reports · 2025Article
- An Innovative Differentiated Creative Search Based on Collaborative Development and Population Evaluation.Biomimetics (Basel, Switzerland) · 2025Article
- Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization.Scientific reports · 2025Article
- Optimized image segmentation using an improved reptile search algorithm with Gbest operator for multi-level thresholding.Scientific reports · 2025Article
- EDECO: An Enhanced Educational Competition Optimizer for Numerical Optimization Problems.Biomimetics (Basel, Switzerland) · 2025Article
- MLP Enhanced COScientific reports · 2025Article
- AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems.Biomimetics (Basel, Switzerland) · 2024Article
- The Application of Tsallis Entropy Based Self-Adaptive Algorithm for Multi-Threshold Image Segmentation.Entropy (Basel, Switzerland) · 2024Article
- Enhanced Multi-Strategy Slime Mould Algorithm for Global Optimization Problems.Biomimetics (Basel, Switzerland) · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. The proposed method introduces a better search space to find the optimal solution at each iteration. However, we proposed RSA-SSA to avoid the searching problem in the same area and determine the optimal multi-level thresholds. The obtained solutions by the proposed method are represented using the image histogram. The proposed RSA-SSA employed Otsu's variance class function to get the best threshold values at each level. The performance measure for the proposed method is valid by detecting fitness function, structural similarity index, peak signal-to-noise ratio, and Friedman ranking test. Several benchmark images of COVID-19 validate the performance of the proposed RSA-SSA. The results showed that the proposed RSA-SSA outperformed other metaheuristics optimization algorithms published in the literature.
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