image_arithmetic_and_logic_operations.py

import numpy as np
import cv2

img1 = cv2.imread('graph1.png')
img2 = cv2.imread('mainlogo.png')

rows ,cols, channels = img2.shape
roi = img1[0:rows, 0:cols]

img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
ret ,mask  = cv2.threshold(img2gray, 220, 255,cv2.THRESH_BINARY_INV)

mask_inv = cv2.bitwise_not(mask)
img1_bg = cv2.bitwise_and(roi, roi, mask = mask_inv)
img2_fg = cv2.bitwise_and(img2, img2, mask = mask)

dst = cv2.add(img1_bg, img2_fg)
img1[0:rows, 0:cols] = dst

cv2.imshow('res', img1)
cv2.imshow('mask', mask)
cv2.imshow('img1_bg', img1_bg)
cv2.imshow('mask_inv', mask_inv)
cv2.imshow('img2_fg', img2_fg)
cv2.imshow('dst', dst)

#cv2.imshow('mask',mask)

#To add two images without reducing opaqueness of anyone of them
#add = img1 + img2

#Other inbuilt method for the image addition is 
#add = cv2.add(img1,img2)
#It adds the pixel values together 

#addWeight - image1 , weight1, image2, weight2, gammavalue
#weighted = cv2.addWeighted(img1, 0.6, img2, 0.4, 0)

#cv2.imshow('Weighted',weighted)
#cv2.imshow('add',add)

cv2.waitKey(0)
cv2.destroyAllWindows()