Mahotas – Opening Process on Image
Last Updated :
29 Jul, 2021
In this article we will see how we can perform opening on the image in mahotas. Opening is a process in which first erosion operation is performed and then dilation operation is performed. It eliminates the thin protrusions of the obtained image and it is used for removing internal noise of the obtained image.
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.openmethod
Syntax : mahotas.morph.open(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
Python3
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
luispedro = mahotas.demos.load( 'luispedro' )
luispedro = luispedro. max ( 2 )
T_otsu = mahotas.otsu(luispedro)
img = luispedro > T_otsu
print ( "Image threshold using Otsu Method" )
imshow(img)
show()
new_img = mahotas.morph. open (img)
print ( "Opened Image" )
imshow(new_img)
show()
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Output :
Image threshold using Otsu Method
Opened Image
Another example
Python3
import mahotas
import numpy as np
import matplotlib.pyplot as plt
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.morph. open (img)
print ( "Opened Image" )
imshow(new_img)
show()
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Output :
Image threshold using Otsu Method
Opened Image
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