计算距图像中心的像素距离

import cv2
import numpy as np

# 读取图像
image = cv2.imread('path_to_image.jpg')
height, width = image.shape[:2]

# 计算图像中心
center_x = width // 2
center_y = height // 2

# 创建一个与图像大小相同的距离矩阵
distance_matrix = np.zeros((height, width), dtype=np.float32)

# 计算每个像素点到中心的距离
for y in range(height):
    for x in range(width):
        distance_matrix[y, x] = np.sqrt((x - center_x) ** 2 + (y - center_y) ** 2)

# 显示距离矩阵
cv2.imshow('Distance Matrix', distance_matrix)
cv2.waitKey(0)
cv2.destroyAllWindows()

distance_matrix = np.zeros((height, width), dtype=np.float32)

x, y = np.meshgrid(np.arange(width), np.arange(height))
distance_matrix = np.sqrt((x - center_x) ** 2 + (y - center_y) ** 2)