2-图像拆分和融合

拆分

cv2.split()

拆分为单通道(灰度)图

import cv2 as cv
import numpy as np

img = cv.imread('D:/Pictures/OpenCVusing/lena.jpg')

#三通道图转为单通道灰度图
b, g, r = cv.split(img)   #注意顺序不是 r,g,b
cv.imshow('b', b)
cv.imshow('g', g)
cv.imshow('r', r)

cv.waitKey()
cv.destroyAllWindows()

img

融合

cv2.merge()

  • 融合一个通道
import cv2 as cv
import numpy as np

img = cv.imread('D:/Pictures/OpenCVusing/lena.jpg')

b, g, r = cv.split(img)   #注意顺序不是 r,g,b

b1 = cv.merge([b, zeros, zeros]) #注意第0个是b,不是zeros
cv.imshow('b1', b1)

g1 = cv.merge([zeros, g, zeros])
cv.imshow('g1', g1)

r1 = cv.merge([zeros, zeros, r])
cv.imshow('r1', r1)

cv.waitKey()
cv.destroyAllWindows()

img

  • 三通道均融合,恢复原图
import cv2 as cv
import numpy as np

img = cv.imread('D:/Pictures/OpenCVusing/lena.jpg')

b, g, r = cv.split(img)   #注意顺序不是 r,g,b

rgb = cv.merge([b, g, r]) #注意顺序不是 r,g,b
cv.imshow('rgb', rgb)

cv.waitKey()
cv.destroyAllWindows()

img

posted @ 2020-08-13 00:00  aJream  阅读(46)  评论(0编辑  收藏  举报