五个单通道影像合并成一张影像

要怎么把五个单通道影像合并成一張五通道的影像
网上查了一下好像是imread,imwrite只支援到四通道，但似乎也没看见其他教学
感谢各位

import cv2
import numpy as np
import os

img1 = cv2.imread("C:/Labbb/mergetestttttt/auto_correlation/auto_correlation_reverse1/0301(46).JPG", cv2.IMREAD_GRAYSCALE)
img2 = cv2.imread("C:/Labbb/mergetestttttt/energy/energy1/0301(46).JPG", cv2.IMREAD_GRAYSCALE)
img3 = cv2.imread("C:/Labbb/mergetestttttt/entropy/entropy_reverse1/0301(46).JPG", cv2.IMREAD_GRAYSCALE)
img4 = cv2.imread("C:/Labbb/mergetestttttt/homogeneity/homogeneity1/0301(46).JPG", cv2.IMREAD_GRAYSCALE)
img5 = cv2.imread("C:/Labbb/mergetestttttt/temp/0301temprature.png", cv2.IMREAD_GRAYSCALE)

img_merge = cv2.merge([img1, img2, img3, img4, img5])

output_path = "C:/Labbb/mergetestttttt/merge/merge1"
filename = "0301(46).png"

cv2.imwrite(os.path.join(output_path, filename), img_merge)

会报以下错误
error
OpenCV(4.5.5) D:\Build\OpenCV\opencv-4.5.5\modules\imgcodecs\src\loadsave.cpp:737: error: (-215:Assertion failed) image.channels() == 1 || image.channels() == 3 || image.channels() == 4 in function 'cv::imwrite_'
  File "C:\Labbb\mergetestttttt\merge.py", line 20, in <module>
    cv2.imwrite(os.path.join(output_path, filename), img_merge)
cv2.error: OpenCV(4.5.5) D:\Build\OpenCV\opencv-4.5.5\modules\imgcodecs\src\loadsave.cpp:737: error: (-215:Assertion failed) image.channels() == 1 || image.channels() == 3 || image.channels() == 4 in function 'cv::imwrite_'

要将五个单通道影像合并成一张多通道影像，我们可以使用Python的OpenCV库来实现。首先，确保已经安装了OpenCV库。如果还没有安装，可以使用以下命令进行安装：

pip install opencv-python

下面是一个使用OpenCV将五个单通道影像合并成一张多通道影像的示例。我们假设五个单通道影像的文件名分别为image1.png、image2.png、image3.png、image4.png和image5.png，我们将它们合并成一张5通道影像，并将结果保存为merged_image.png。

import cv2
import numpy as np

# 读取单通道影像
image1 = cv2.imread("image1.png", cv2.IMREAD_GRAYSCALE)
image2 = cv2.imread("image2.png", cv2.IMREAD_GRAYSCALE)
image3 = cv2.imread("image3.png", cv2.IMREAD_GRAYSCALE)
image4 = cv2.imread("image4.png", cv2.IMREAD_GRAYSCALE)
image5 = cv2.imread("image5.png", cv2.IMREAD_GRAYSCALE)

# 检查影像尺寸是否一致
if image1.shape != image2.shape or image1.shape != image3.shape or image1.shape != image4.shape or image1.shape != image5.shape:
    print("影像尺寸不一致，无法合并。")
else:
    # 合并影像
    merged_image = cv2.merge((image1, image2, image3, image4, image5))

    # 保存合并后的影像
    cv2.imwrite("merged_image.png", merged_image)

这段代码首先读取五个单通道影像，然后检查它们的尺寸是否一致。如果尺寸一致，我们使用cv2.merge()函数将它们合并成一张多通道影像。最后，我们将合并后的影像保存为merged_image.png文件。

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