python opencv 图像叠加,python opencv图像叠加/图像融合/mask掩模_weixin_39862794的博客-CSDN博客

import cv2

img1 = cv2.imread('pic.png')

img2 = cv2.imread('small.jpg')

img2 = cv2.resize(img2,(100,100))

#首先获取原始图像roi

rows,cols,channels = img2.shape

roi = img1[0:rows, 0:cols ]

#原始图像转化为灰度值

# Now create a mask of logo and create its inverse mask also

img2gray = cv2.cvtColor(img2,cv2.COLOR_BGR2GRAY)

cv2.imshow('img2gray',img2gray)

cv2.waitKey(0)

'''

将一个灰色的图片，变成要么是白色要么就是黑色。(大于规定thresh值就是设置的最大值(常为255，也就是白色))

'''

#将灰度值二值化，获得ROI区域掩模

ret, mask = cv2.threshold(img2gray, 200, 255, cv2.THRESH_BINARY)

cv2.imshow('mask',mask)

cv2.waitKey(0)

#ROI掩模区域反向掩模

mask_inv = cv2.bitwise_not(mask)

cv2.imshow('mask_inv',mask_inv)

cv2.waitKey(0)

#掩模显示背景

# Now black-out the area of logo in ROI

img1_bg = cv2.bitwise_and(roi,roi,mask = mask)

cv2.imshow('img1_bg',img1_bg)

cv2.waitKey(0)

#掩模显示前景

# Take only region of logo from logo image.

img2_fg = cv2.bitwise_and(img2,img2,mask = mask_inv)

cv2.imshow('img2_fg',img2_fg)

cv2.waitKey(0)

#前背景图像叠加

# Put logo in ROI and modify the main image

dst = cv2.add(img1_bg,img2_fg)

img1[0:rows, 0:cols ] = dst

cv2.imshow('res',img1)

cv2.waitKey(0)

cv2.destroyAllWindows()

img1[0:rows, 0:cols ] = dst

cv2.imshow('res',img1)

cv2.waitKey(0)

cv2.destroyAllWindows()