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Keyword: Otsu thresholding ×Clear all

4 claims from 2 papers

1. Computer Science › Metaheuristic Optimization Algorithms Research

   Multi-Threshold Art Symmetry Image Segmentation and Numerical Optimization Based on the Modified Golden Jackal Optimization

   Zhang, Bao, Li and Wang · Symmetry · 2025

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   1. Unchecked“Population diversity analysis, exploration–exploitation balance assessment, Wilcoxon rank-sum tests, and Friedman mean-rank tests all demonstrate that MGJO significantly outperforms the comparison algorithms in optimization accuracy, stability, and statistic…
   2. Unchecked“The resulting segmented images exhibit superior peak signal-to-noise ratio (PSNR), structural similarity (SSIM), and feature similarity (FSIM) compared to other algorithms, more precisely preserving brushstroke details and color layers.”

2. 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.

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   1. 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.”
   2. 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.”