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Mahotas – Filtering Region
  • Last Updated : 21 Jun, 2020

In this article, we will see how we can filter region in mahotas. For this, we are going to use the fluorescent microscopy image from a nuclear segmentation benchmark. We can get the image with the help of command given below –

mhotas.demos.nuclear_image()

Below is the nuclear_image

In order to filter this 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

nuclear = nuclear[:, :, 0]

Example 1 :

filter_none

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# importing required libraries
import mahotas as mh
import mahotas.demos
import numpy as np
from pylab import imshow, show
  
# getting nuclear image
nuclear = mh.demos.nuclear_image()
  
print("Original Image i.e without filter")
# show the original image
imshow(nuclear)
show()
  
# filtering the image
nuclear = nuclear[:, :, 0]
  
print("Image with filter")
# showing the image
imshow(nuclear)
show()

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Output :



Example 2 :

filter_none

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close

play_arrow

link
brightness_4
code

# importing required libraries
import mahotas as mh
import mahotas.demos
import numpy as np
from pylab import imshow, show
  
# getting nuclear image
nuclear = mh.demos.nuclear_image()
  
print("Original Image i.e without filter")
# show the original image
imshow(nuclear)
show()
  
# filtering the image
nuclear = nuclear[500:, 500:, :]
  
print("Image with filter")
# showing the image
imshow(nuclear)
show()

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Output :

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