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A Novel Segmentation Error Minimization-Based Method for Multilevel Optimal Threshold Selection Using Opposition Equilibrium Optimizer

INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS (2023)

Color image segmentation using Kapur, Otsu and Minimum Cross Entropy functions based on Exchange Market Algorithm

P. D. Sathya et al.

Summary: Color image segmentation is a crucial step to extract detailed information from RGB images, with multilevel thresholding utilizing objective functions such as Kapur, Otsu, and MCE to achieve precise results. The use of metaheuristic algorithms such as KHA, TLBO, CSA, and EMA has been explored to enhance the speed and efficiency of segmentation techniques. Empirical results indicate that EMA outperforms existing techniques in achieving exceptional image segmentation results in less time, as validated by metrics such as SSIM, PSNR, and statistical tests.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

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Article Computer Science, Artificial Intelligence

An opposition equilibrium optimizer for context-sensitive entropy dependency based multilevel thresholding of remote sensing images

Manoj Kumar Naik et al.

Summary: The study introduces a context-sensitive entropy dependency-based multilevel thresholding method, accompanied by the opposition equilibrium optimizer. Through various testing and analysis, the method is shown to demonstrate advantages in reducing complexity, improving accuracy, and enhancing stability and scalability.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

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Article Computer Science, Artificial Intelligence