How can I make the composite of two images in OpenCV with Python?

image-processing, matlab, opencv, python, simpleitk

Solution

By default, `imfuse` simply overlays the pair of images in different color bands (Default being `Method=falsecolor` and `ColorChannels=green-magenta`).

Here is an example in MATLAB to illustrate (it should should be easy to write this in Python/OpenCV):

% a pair of grayscale images
A = imread('cameraman.tif');
B = imrotate(A,5,'bicubic','crop');    % image "A" rotated a bit

% use IMFUSE
C = imfuse(A,B);
imshow(C)

% use our version where: Red=B, Green=A, Blue=B
C = cat(3, B, A, B);
imshow(C)

Both should give you the same thing:

EDIT:

Here is the Python/OpenCV version:

import numpy as np
import cv2

A = cv2.imread(r"C:\path\to\a.png", 0)
B = cv2.imread(r"C:\path\to\b.png", 0)

#C = cv2.merge((B,A,B))
C = np.dstack((B,A,B))
cv2.imshow("imfuse",C)
cv2.waitKey(0)

Problem

I have one image that remains unchanged and another image which is the first one, but with a filter applied on it. I want to create the third image which should be the composite of these first two images. I know that in MATLAB there is a function called as `imfuse()` with the default color channel green-magenta. I want to do the same thing in Python, with exactly the same color channel. How can I do this ? Here are the images (first is the original picture, second is the first picture with the filter applied, third is the MATLAB result): Thanks for your help !

Original source