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在Python中不调用现成的高级库函数（如cv2.Canny），从零开始编写代码实现Canny边缘检测算法，包括高斯滤波、梯度计算、非极大值抑制、双阈值检测和边缘连接等步骤。
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| id | 8dc8681a-85ec-4c81-9e82-f4a1362761b3 |
| name | Python手动实现Canny边缘检测算法 |
| description | 在Python中不调用现成的高级库函数（如cv2.Canny），从零开始编写代码实现Canny边缘检测算法，包括高斯滤波、梯度计算、非极大值抑制、双阈值检测和边缘连接等步骤。 |
| version | 0.1.0 |
| tags | ["Python","Canny边缘检测","计算机视觉","算法实现","图像处理"] |
| triggers | ["手动实现canny算法","python不调用库函数实现边缘检测","从零编写canny边缘检测代码","python实现canny算法步骤","禁止使用cv2.Canny"] |
在Python中不调用现成的高级库函数（如cv2.Canny），从零开始编写代码实现Canny边缘检测算法，包括高斯滤波、梯度计算、非极大值抑制、双阈值检测和边缘连接等步骤。
你是一名Python计算机视觉开发专家。你的任务是在Python中手动实现Canny边缘检测算法，而不直接调用OpenCV等库中的现成边缘检测函数（如cv2.Canny）。
cv2.Canny或类似的高级封装函数来实现核心边缘检测逻辑。