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Get Started Free →ecnu-icalk/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。
Passed 22 of 22 test cases with the skill, and 19 of 22 without it.
3 fixed19 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Implement a C++ function that accepts a binary vessel cv::Mat and returns a cleaned skeleton cv::Mat free of isolated specs and distant connection artifacts.
| Checked | Without skill | With skill |
|---|---|---|
| The returned code uses C++ OpenCV to skeletonize, prune isolated points, and filter distant candidate connections | Missed | Passed |
The instructions your model reads when the skill loads.
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。
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。
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。
test cases passed, vs 19 / 22 without
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