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Keyword: sine cosine algorithm Clear all
2 claims from 1 paper
Computer Science › Metaheuristic Optimization Algorithms Research
Multi-Threshold Image Segmentation Based on Reinforcement Learning–Thermal Conduction–Sine Cosine Algorithm (RLTCSCA): Symmetry-Driven Optimization for Image Processing
Wang, Bao, Zhu and Lei · Symmetry · 2025
The paper proposes RLTC-SCA, an improved Sine Cosine Algorithm, and tests it on two benchmark suites and on multi-threshold image segmentation, reporting better results than competing algorithms.
Unchecked2 claimsShow 2 claims
- UncheckedThe authors report that their RLTC-SCA algorithm beat all compared algorithms on fitness, speed and stability, ranking first on the CEC2020 and CEC2022 test suites.“Experimental results demonstrate that RLTC-SCA outperforms all comparison algorithms in terms of average fitness, convergence speed, and stability, ranking first on both benchmark test suites.”
- UncheckedIn the authors' tests, RLTC-SCA found good segmentation thresholds, scoring consistently higher on PSNR, FSIM and SSIM than the competing algorithms.“The results indicate that RLTC-SCA can efficiently obtain optimal segmentation thresholds, with PSNR, FSIM, and SSIM values consistently higher than those of competing algorithms—demonstrating superior segmentation accuracy and robustness.”
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