ArticlePloS one2023
Fast detection of dam zone boundary based on Otsu thresholding optimized by enhanced harris hawks optimization.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- A multi-strategy framework for enhancing Harris hawks optimization for global optimization problems.Scientific reports · 2026Article
- Article
- Advancing image segmentation with DBO-Otsu: Addressing rubber tree diseases through enhanced threshold techniques.PloS one · 2024Article
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6 authors.
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Abstract
Earth-rock dams are among the most important and expensive infrastructure projects. A key safety issue is dam zone boundary detection to prevent the intrusion of materials from different zones. However, existing detection methods strongly highly depend on human judgement, which is time consuming and labor intensive. To solve this problem, this work proposes a fast boundary detection method based on the Otsu algorithm optimized by enhanced Harris hawks optimization (HHO). Compared with the original Otsu algorithm, the proposed method has a higher computation speed to meet the time requirements of engineering projects. Particle swarm optimization is adopted to enhance the exploration stage of HHO. In addition, a tangent function and chaotic sine map are used to improve the convergence speed and robustness. The application of the proposed method to a real-life project shows that the calculation time can be reduced to 20 s, which is approximately 18.8% of the original calculation time.
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