python -使用python实现Sobel运算符，无需opencv

import numpy as np

def sobel_operator(image):
    # 定义Sobel算子
    sobel_x = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
    sobel_y = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]])

    # 对图像进行灰度化处理
    gray_image = image.convert('L')
    # 将灰度图像转换为NumPy数组
    gray_array = np.array(gray_image)

    # 使用Sobel算子进行边缘检测
    gradient_x = np.abs(np.convolve(gray_array, sobel_x, mode='same'))
    gradient_y = np.abs(np.convolve(gray_array, sobel_y, mode='same'))
    gradient = np.sqrt(gradient_x**2 + gradient_y**2)

    # 将梯度图像转换为PIL图像
    gradient_image = Image.fromarray(gradient.astype(np.uint8))

    return gradient_image

pip install pillow