如何从直方图中计算每个通道的平均值？

import cv2
import numpy as np

def calculate_channel_means(image_path):
    # 加载图像
    image = cv2.imread(image_path)

    # 转换为RGB格式
    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

    # 创建直方图数组
    red_hist = np.zeros(256)
    green_hist = np.zeros(256)
    blue_hist = np.zeros(256)

    # 遍历图像的每个像素
    for row in image:
        for pixel in row:
            red_hist[pixel[0]] += 1
            green_hist[pixel[1]] += 1
            blue_hist[pixel[2]] += 1

    # 计算每个通道的平均值
    total_pixels = image.shape[0] * image.shape[1]
    red_mean = np.sum(np.arange(256) * red_hist) / total_pixels
    green_mean = np.sum(np.arange(256) * green_hist) / total_pixels
    blue_mean = np.sum(np.arange(256) * blue_hist) / total_pixels

    return red_mean, green_mean, blue_mean

# 示例用法
image_path = 'path/to/your/image.jpg'
red_mean, green_mean, blue_mean = calculate_channel_means(image_path)
print("Red Mean:", red_mean)
print("Green Mean:", green_mean)
print("Blue Mean:", blue_mean)