Opencv learning Day2

Border filling

import cv2
img = cv2.imread('sample.jpg')
top_size,bottom_size,left_size,right_size = (50,50,50,50)# Length of padding around the picture 
replicate = cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType = cv2.BORDER_REPLICATE)
reflect = cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType = cv2.BORDER_REFLECT)
reflect101 = cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType = cv2.BORDER_REFLECT_101)
wrap = cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType = cv2.BORDER_WRAP)
constant = cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType = cv2.BORDER_CONSTANT,value = 0)
cv2.imshow('Original',img)
cv2.imshow('replicate',replicate)
cv2.imshow('reflect',reflect)
cv2.imshow('reflect101',reflect101)
cv2.imshow('wrap',wrap)
cv2.imshow('constant',constant)
cv2.waitKey(0)
cv2.destroyWindow()

BORDER_REPLICATE: Replication , That is to copy the edge pixels .
BORDER_REFLECT: Reflection , Copy the pixels in the image of interest on both sides
BORDER_REFLECT_101: Reflection , That is, take the most edge pixel as the axis
BORDER_WRAP: The outer packing method , Connect the left boundary and the right boundary of the image , The upper and lower boundaries are connected
BORDER_CONSTANT: Constant method , It needs filling value value ,0 Indicates black box filling

Numerical calculation

import cv2
img = cv2.imread('sample.jpg')
image = cv2.imread('test.jpg')
print(img[0:5,0:5,0])
print(image[0:5,0:5,0])
# Direct addition 10
img1 = img +10
image1 = image + 10
print(img1[0:5,0:5,0])
print(image1[0:5,0:5,0])
# The two images are added directly , The size should be the same 
img = cv2.resize(img,(image.shape[1],image.shape[0]))
result1 = img + image
print(result1[0:5,0:5,0])
# adopt cv2.add Add up , The size should be the same 
result2 = cv2.add(img,image)
print(result2[0:5,0:5,0])

Image fusion

If you add it directly , Will report a mistake

# Image fusion 
import cv2

image = cv2.imread('sample.jpg')
img = cv2.imread('test.jpg')

result = image + img

Adjust the two pictures to the same size and then merge

# Image fusion 
import cv2

image = cv2.imread('sample.jpg')
img = cv2.imread('test.jpg')

# Adjust the two pictures to the same size 
img = cv2.resize(img,(image.shape[1],image.shape[0]))

result = image + img
cv2.imshow('1',result)
cv2.waitKey(0)
cv2.destroyAllWindows() 

Use function fusion

# Image fusion 
import cv2

image = cv2.imread('sample.jpg')
img = cv2.imread('test.jpg')
# Adjust the two pictures to the same size 
img = cv2.resize(img,(image.shape[1],image.shape[0]))
result = cv2.addWeighted(image, 0.5, img, 0.5, 0)
cv2.imshow('1',result)
cv2.waitKey(0)
cv2.destroyAllWindows()