how to vertically segment an image?

I have images like this:

where all objects are connected through a horizontal line. all the symbols have different widths so can't extract all shapes using a fixed width or splitting points like when we split an array.

In this image, there are 4 symbols but in some other cases it can be more or less than 4 so here also I can't perform something like "4 symbols so divide the input image width vertically into 4 different widths. so I don't know how to extract whatever symbols the image might have efficiently like this output I want

.

Can you guys help me with this?

to

import urllib.request
from PIL import Image
from scipy import signal
import numpy as np
from matplotlib import pyplot as plt

urllib.request.urlretrieve(
  'https://i.sstatic.net/iMKIP.jpg',
   "img.png")
img = Image.open("img.png")
img.show()

arr = (np.array(img)<(255)/2) #I'm considering black parts as filled
plt.imshow(arr)

plt.subplot(211)
plt.imshow(arr, aspect="auto")
plt.subplot(212)
plt.plot(arr.sum(axis=0))
plt.xlim(0,arr.shape[1])

Then, in order to find local min:

x_lines = signal.find_peaks(-arr.sum(axis=0))[0]

plt.imshow(arr, aspect="auto")
plt.vlines(x_lines, 0, arr.shape[0], color="r")

Finally if we consider a threshold (for example 50 filled pixel in columns):

threshold = 50

x_lines = signal.find_peaks(-arr.sum(axis=0))[0]
x_lines = x_lines[arr.sum(axis=0)[x_lines]<threshold]

plt.imshow(arr, aspect="auto")
plt.vlines(x_lines, 0, arr.shape[0], color="r")

Edit:

To split picture you need

for i, x in enumerate(x_lines):
    if i==0:
        plt.imshow(arr[:,:x_lines[i]], cmap="Greys")
        plt.savefig("fig%i"%i)
        plt.show()
    else:
        plt.imshow(arr[:,x_lines[i-1]:x_lines[i]], cmap="Greys")
        plt.savefig("fig%i"%i)
        plt.show()
        
plt.imshow(arr[:,x_lines[i]:], cmap="Greys")
plt.savefig("fig%i"%(i+1))
plt.show()