blue,green,red = cv2.split(img)

#导入所需的库
import cv2

# 读取输入彩色图像
img = cv2.imread('bgr.png')

# 拆分蓝色、绿色和红色色彩通道
blue,green,red = cv2.split(img)

# 显示三通道
cv2.imshow('蓝色通道', blue)
cv2.waitKey(0)
cv2.imshow('绿色通道', green)
cv2.waitKey(0)
cv2.imshow('红色通道', red)
cv2.waitKey(0)
cv2.destroyAllWindows()

# 导入必要的库
import cv2
import numpy as np

# 读取输入的彩色图像
img = cv2.imread('bgr.png')

# 分离蓝色、绿色和红色通道
blue,green,red = cv2.split(img)

# 定义所有像素值为0的通道
zeros = np.zeros(blue.shape, np.uint8)

# 合并通道以获得BGR图像
blueBGR = cv2.merge([blue,zeros,zeros])
greenBGR = cv2.merge([zeros,green,zeros])
redBGR = cv2.merge([zeros,zeros,red])

# 将三个蓝色、绿色和红色通道显示为BGR图像
cv2.imshow('Blue Channel', blueBGR)
cv2.waitKey(0)
cv2.imshow('Green Channel', greenBGR)
cv2.waitKey(0)
cv2.imshow('Red Channel', redBGR)
cv2.waitKey(0)
cv2.destroyAllWindows()