OpenCV中图像通道操作的深入讲解

b = img[ : , : , 0 ]
g = img[ : , : , 1 ]
r = img[ : , : , 2 ]

import cv2
lena=cv2.imread("lena_color.jpg")
cv2.imshow("lena彩色原图",lena)
b=lena[:,:,0]       # 获取图像的B通道
g=lena[:,:,1]       # 获取图像的G通道
r=lena[:,:,2]       # 获取图像的R通道
cv2.imshow("B通道",b)
cv2.imshow("G通道",g)
cv2.imshow("R通道",r)
cv2.waitKey()
cv2.destroyAllWindows()

b=cv2.split(a)[0]
g=cv2.split(a)[1]
r=cv2.split(a)[2]

import cv2
lena=cv2.imread("lena_color.jpg")
cv2.imshow("lena彩色原图",lena)
b,g,r=cv2.split(lena)
cv2.imshow("B通道",b)
cv2.imshow("G通道",g)
cv2.imshow("R通道",r)
cv2.waitKey()
cv2.destroyAllWindows()

import cv2
lena=cv2.imread("lena_color.jpg")
b,g,r=cv2.split(lena)           # 对lena彩色原图进行通道拆分
bgr=cv2.merge([b,g,r])          # 对通道按照BGR的顺序合并生成图像bgr
brg=cv2.merge([b,r,g])          # 对通道按照BRG的顺序合并生成图像brg
rgb=cv2.merge([r,g,b])          # 对通道按照RGB的顺序合并生成图像rgb
cv2.imshow("bgr",bgr)
cv2.imshow("brg",brg)
cv2.imshow("rgb",rgb)
cv2.waitKey()
cv2.destroyAllWindows()