Mahotas – Closing Holes in Image
In this article we will see how we can close holes of the image in mahotas. Closing holes means to remove the holes present in the image, 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 “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.close_holes method
Syntax : mahotas.close_holes(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
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
img = mahotas.demos.load( 'lena' )
img = img. max ( 2 )
T_otsu = mahotas.otsu(img)
img = img > T_otsu
print ( "Image threshold using Otsu Method" )
imshow(img)
show()
new_img = mahotas.close_holes(img)
print ( "Closed Hole Image" )
imshow(new_img)
show()
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Output :
Image threshold using Otsu Method
Lena Otsu
Closed Hole Image
Close Holes
Another example
Python3
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
img = mahotas.imread( 'dog_image.png' )
img = img[:, :, 0 ]
T_otsu = mahotas.otsu(img)
img = img > T_otsu
print ( "Image threshold using Otsu Method" )
imshow(img)
show()
new_img = mahotas.close_holes(img)
print ( "Closed Hole Image" )
imshow(new_img)
show()
|
Output :
Image threshold using Otsu Method
Closed Hole Image
Last Updated :
30 Jul, 2021
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