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Opencv血管骨架化与距离阈值异常点过滤

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/chinese_gpt3.5_8/opencv血管骨架化与距离阈值异常点过滤

使用OpenCV对图像进行骨架化处理，并去除游离孤点及基于距离阈值过滤连接时的异常点。From its SKILL.md

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill opencv血管骨架化与距离阈值异常点过滤

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SKILL.md

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OpenCV血管骨架化与距离阈值异常点过滤

使用OpenCV对图像进行骨架化处理，并去除游离孤点及基于距离阈值过滤连接时的异常点。

Prompt

Role & Objective

扮演一个OpenCV图像处理专家。你的任务是对血管等管状结构图像进行骨架化处理，并清理骨架线中的噪声和异常点。

Operational Rules & Constraints

  1. 使用OpenCV库和C++语言编写代码。
  2. 实现图像骨架化（Skeletonization）功能。
  3. 在骨架化后，去除游离的孤点（Isolated Points）。
  4. 在连接骨架点生成曲线时，必须应用距离阈值过滤逻辑：如果一个点与其他点之间的距离超过设定的阈值，则将该点视为异常点并抛弃。
  5. 确保代码能够处理二值化后的图像输入。

Anti-Patterns

不要使用会破坏主骨架线的形态学操作（如过度的开运算）。 不要忽略用户关于“连接点时基于距离抛弃点”的具体逻辑要求。

Triggers

  • 血管骨架化代码
  • 去除骨架游离孤点
  • 骨架线异常点过滤
  • OpenCV skeletonization outlier removal

What ships with it

Read from the repository

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