Scholarlink

To assist the development of modern agriculture in Jingmen, 3D multi-thresholding image segmentation of a representative of pests was carried out. A new algorithm called the red-billed blue magpie optimizer (RBMO) was introduced and the pinhole-imaging-based learning (PIL) strategy and nonlinear switching factor were involved to improve the original RBMO. Simulation experiments were carried out and the results proved that 3D multi-thresholding image segmentation with swarm intelligence was very efficient and stable, and the improved ways of PIL strategy and nonlinear switching factor were also capable in application.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

3D Multi-thresholding Image Segmentation of Pests in Jingmen with a Multi-strategy Boosted Red-Billed Blue Magpie Optimizer

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Zhengming Gao,
  • Juan Zhao,
  • Qiqi Zhou

摘要

To assist the development of modern agriculture in Jingmen, 3D multi-thresholding image segmentation of a representative of pests was carried out. A new algorithm called the red-billed blue magpie optimizer (RBMO) was introduced and the pinhole-imaging-based learning (PIL) strategy and nonlinear switching factor were involved to improve the original RBMO. Simulation experiments were carried out and the results proved that 3D multi-thresholding image segmentation with swarm intelligence was very efficient and stable, and the improved ways of PIL strategy and nonlinear switching factor were also capable in application.