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Mahotas – Median filter

  • Last Updated : 23 Jun, 2021
Geek Week

In this article we will see how we can apply median filter to the image in mahotas. The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image).
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.median_filter method
Syntax : mahotas.median_filter(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
import matplotlib.pyplot as plt
   
# loading image
img = mahotas.demos.load('lena')
   
# filtering image
img = img.max(2)
 
print("Image")
   
# showing image
imshow(img)
show()
 
# applying median filter
new_img = mahotas.median_filter(img)
  
 
# showing image
print("Median Filter")
imshow(new_img)
show()

Output :
 

Image

 

 

Median Filter

 



Another example 
 

Python3




# importing required libraries
import mahotas
import numpy as np
from pylab import gray, imshow, show
import os
import matplotlib.pyplot as plt
  
# loading image
img = mahotas.imread('dog_image.png')
 
 
# fltering image
img = img[:, :, 0]
   
print("Image")
   
# showing image
imshow(img)
show()
 
# applying median filter
new_img = mahotas.median_filter(img)
  
 
# showing image
print("Median Filter")
imshow(new_img)
show()

Output :
 

Image

 

 

Median Filter

 

 

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