如何使用Python在OpenCV中制作两个图像的合成物?

问题描述

我有一个图像保持不变，另一个图像是第一个图像，但是上面应用了滤镜.我想创建第三个图像，该图像应该是前两个图像的合成.

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.

我知道在MATLAB中有一个名为 imfuse()的函数，其默认颜色通道为绿色-品红色.我想用完全相同的颜色通道在Python中执行相同的操作.我该怎么办?

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 ?

以下是图像(第一张是原始图片，第二张是应用了滤镜的第一张图片，第三张是MATLAB结果):

Here are the images (first is the original picture, second is the first picture with the filter applied, third is the MATLAB result):

感谢您的帮助！

推荐答案

默认情况下， imfuse 仅覆盖不同色带中的图像对(默认为 Method = falsecolor 和 ColorChannels = green-magenta )

以下是MATLAB中的一个示例来说明(用Python/OpenCV编写起来应该很容易):

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)

两者都应该给你同样的东西:

Both should give you the same thing:

这是Python/OpenCV版本:

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)

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