如何水平放置所有三个图像？

Question

我的功能可以将原始图像更改为灰度，负面图像和颜色黄色为蓝色。该代码应该在3个不同的窗口中运行并显示图像。我该如何水平将它们全部放置？ 这是代码。

PS我不会使用PIL。

from cImage import *

#there is a code here that that defines the functions, i've cut it out from my 
question

def generalTransform(imageFile):
    myimagewindow = ImageWin("Image Processing",300,200)
    oldimage = FileImage(imageFile)
    oldimage.draw(myimagewindow)

    newimage = pixelMapper(oldimage,changeYellowToBlue)       
    newimage.setPosition(oldimage.getWidth()+1,0)
    newimage.draw(myimagewindow)
    myimagewindow.exitOnClick()
def main():
    generalTransform("mickey.gif")

main()
def makenegative(imageFile):
    oldImage=FileImage(imageFile)
    width=oldImage.getWidth()
    height=oldImage.getHeight()
    myImageWindow=ImageWin('negativeimage', width*2, height)
    oldImage.draw(myImageWindow)
    newIm=EmptyImage(width, height)
    for row in range(height):
        for col in range(width):
            oldPixel=oldImage.getPixel(col, row)
            newPixel=negativePixel(oldPixel)
            newIm.setPixel(col, row, newPixel)
    newIm.setPosition(width+1, 0)
    newIm.draw(myImageWindow)
    myImageWindow.exitOnClick()
def main():
    makenegative("mickey.gif")

main()
def makeGrayscale(imageFile):
    oldImage=FileImage(imageFile)
    width=oldImage.getWidth()
    height=oldImage.getHeight()
    myImageWindow=ImageWin('grayimage', width*2, height)
    oldImage.draw(myImageWindow)
    newIm=EmptyImage(width, height)
    for row in range(height):
        for col in range(width):
            oldPixel=oldImage.getPixel(col, row)
            newPixel=grayPixel(oldPixel)
            newIm.setPixel(col, row, newPixel)
    newIm.setPosition(width+1, 0)
    newIm.draw(myImageWindow)
    myImageWindow.exitOnClick()
def main():
    makeGrayscale("mickey.gif")

main()

这是代码的一部分。

Answer 1

为此使用OpenCV库怎么样？
将图像转到灰度之后，您可以将它们连接到水平轴上并彼此相邻显示。

import cv2
import numpy as np

first_image = cv2.imread(path, cv2.IMREAD_GRAYSCALE)
second_image = cv2.imread(path, cv2.IMREAD_GRAYSCALE)
# other transformations that you want

# concatenating images horizontally
horizontal_concat = np.concatenate((first_image, second_image), axis=1)
cv2.imshow(horizontal_concat)

cv2.waitKey()
cv2.destroyAllWindows()

干杯