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Mahotas – Closing Process on Image
  • Last Updated : 03 Jul, 2020

In this article we will see how we can perform closing on the image in mahotas. Closing is a process in which first dilation operation is performed and then erosion operation is performed. It eliminates the small holes from the obtained image, it is used for smoothening of contour and fusing of narrow breaks.

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

mahotas.demos.load('luispedro')

Below is the luispedro image

In order to do this we will use mahotas.morph.closemethod

Syntax : mahotas.morph.close(image)



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




# importing required libraries
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
   
# loading iamge
luispedro = mahotas.demos.load('luispedro')
   
# filtering image
luispedro = luispedro.max(2)
   
# otsu method
T_otsu = mahotas.otsu(luispedro)
    
# image values should be greater than otsu value
img = luispedro > T_otsu
   
print("Image threshold using Otsu Mehtod")
   
# showing image
imshow(img)
show()
  
# closing image
new_img = mahotas.morph.close(img)
   
# showing new image
print("Closed Image")
imshow(new_img)
show()

Output :

Image threshold using Otsu Mehtod

Closed Image

Another example




# importing required libraries
import mahotas
import numpy as np
import matplotlib.pyplot as plt
import os
   
# loading iamge
img = mahotas.imread('dog_image.png')
        
# setting filter to the 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 Mehtod")
  
# showing image
imshow(img)
show()
  
# closing image
new_img = mahotas.morph.close(img)
   
# showing new image
print("Closed Image")
imshow(new_img)
show()

Output :

Image threshold using Otsu Mehtod

Closed Image

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