32 lines
850 B
Python
32 lines
850 B
Python
import numpy as np
|
||
|
||
# 定义4×4图像矩阵
|
||
img = np.array([
|
||
[255, 255, 0, 0 ],
|
||
[255, 255, 0, 0 ],
|
||
[0, 0, 255, 255],
|
||
[0, 0, 255, 255]
|
||
], dtype=np.uint8)
|
||
|
||
print("原始图像:")
|
||
print(img)
|
||
print("-" * 30)
|
||
|
||
# 1. 统计白色(255)和黑色(0)像素数量
|
||
white_pixels = np.sum(img == 255) # 等于255的元素求和
|
||
black_pixels = np.sum(img == 0) # 等于0的元素求和
|
||
print(f"白色像素(255)数量:{white_pixels}")
|
||
print(f"黑色像素(0)数量:{black_pixels}")
|
||
print("-" * 30)
|
||
|
||
# 2. 水平翻转(左右翻转)
|
||
img_flip_lr = np.fliplr(img)
|
||
print("水平翻转后的图像:")
|
||
print(img_flip_lr)
|
||
print("-" * 30)
|
||
|
||
# 3. 逆时针旋转90度(转置 + 上下翻转)
|
||
# 方法:先转置,再上下翻转
|
||
img_rot90_ccw = np.flipud(img.T)
|
||
print("逆时针旋转90度后的图像:")
|
||
print(img_rot90_ccw) |