我在 Python 中加载了一个图像，作为形状为 (7, 7) 的 np.array。我需要对图像应用过滤过程。为此，我需要应用一个将卷积 2D 图像的内核（就像移动窗口一样）。但是，为了获得与输入形状相同的输出过滤图像，我需要扩展原始图像（填充）并在过滤之前将这些像素填充为镜像。
下面我用一张图片来说明我的问题：
注意：必须对图像的所有角应用填充。
我如何创建这个填充？
以下是一些示例数据：
img = np.array([[1, 2, 3, 4, 5, 6, 7], [8, 9, 10, 11, 12, 13, 14], [15, 16, 17, 18, 19, 20, 21], [22, 23, 24, 25, 26, 27, 28], [29, 30, 31, 32, 33, 34, 35], [36, 37, 37, 39, 40, 41, 42], [43, 44, 45, 46, 47, 48, 49]], dtype=np.uint8) plt.imshow(img)
可以将np.pad与mode=一起使用'reflect'：
mode
'reflect'
img = np.pad(img, ((2, 2), (2, 2)), 'reflect')
例子：
import numpy as np img = np.array([[ 1, 2, 3, 4, 5, 6, 7], [ 8, 9, 10, 11, 12, 13, 14], [15, 16, 17, 18, 19, 20, 21], [22, 23, 24, 25, 26, 27, 28], [29, 30, 31, 32, 33, 34, 35], [36, 37, 37, 39, 40, 41, 42], [43, 44, 45, 46, 47, 48, 49]], dtype=np.uint8) pimg = np.pad(img, ((2, 2), (2, 2)), 'reflect')
Value of pimg:
pimg
array([[17, 16, 15, 16, 17, 18, 19, 20, 21, 20, 19], [10, 9, 8, 9, 10, 11, 12, 13, 14, 13, 12], [ 3, 2, 1, 2, 3, 4, 5, 6, 7, 6, 5], [10, 9, 8, 9, 10, 11, 12, 13, 14, 13, 12], [17, 16, 15, 16, 17, 18, 19, 20, 21, 20, 19], [24, 23, 22, 23, 24, 25, 26, 27, 28, 27, 26], [31, 30, 29, 30, 31, 32, 33, 34, 35, 34, 33], [37, 37, 36, 37, 37, 39, 40, 41, 42, 41, 40], [45, 44, 43, 44, 45, 46, 47, 48, 49, 48, 47], [37, 37, 36, 37, 37, 39, 40, 41, 42, 41, 40], [31, 30, 29, 30, 31, 32, 33, 34, 35, 34, 33]], dtype=uint8)
