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Mahotas – Skeletonization by thinning of image

  • Last Updated : 30 Jul, 2021
Geek Week

In this article we will see how we can do skeletonization of image by thinning in mahotas. Skeletonization is a process for reducing foreground regions in a binary image to a skeletal remnant that largely preserves the extent and connectivity of the original region while throwing away most of the original foreground pixels. Thinning is a morphological operation that is used to remove selected foreground pixels from binary images, somewhat like erosion or opening.

In this tutorial we will use “lena” image, below is the command to load it. 

mahotas.demos.load('lena')

Below is the lena image

In order to do this we will use mahotas.thin method



Syntax : mahotas.thin(img) 

Argument : It takes image object as argument

Return : It returns image object 

Note: Input image should be filtered or should be loaded as grey

In order to filter the image we will take the image object which is numpy.ndarray and filter it with the help of indexing, below is the command to do this 

image = image[:, :, 0]

Below is the implementation 

Python3




# importing required libraries
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
   
# loading image
img = mahotas.demos.load('lena')
 
 
   
# filtering image
img = img.max(2)
 
# otsu method
T_otsu = mahotas.otsu(img)  
   
# image values should be greater than otsu value
img = img > T_otsu
   
print("Image threshold using Otsu Method")
 
# showing image
imshow(img)
show()
 
 
# Skeletonisation by thinning
new_img = mahotas.thin(img)
  
 
# showing image
print("Skeletonised Image")
imshow(new_img)
show()

Output : 



Image threshold using Otsu Method

Skeletonised Image

Another example 

Python3




# importing required libraries
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
  
# loading image
img = mahotas.imread('dog_image.png')
 
 
# filtering image
img = img[:, :, 0]
   
# otsu method
T_otsu = mahotas.otsu(img)  
   
# image values should be greater than otsu value
img = img > T_otsu
   
print("Image threshold using Otsu Method")
   
# showing image
imshow(img)
show()
 
 
# Skeletonisation by thinning
new_img = mahotas.thin(img)
  
 
# showing image
print("Skeletonised Image")
imshow(new_img)
show()

Output : 

Image threshold using Otsu Method

Skeletonised Image

 

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