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 –
mahotas.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 :
Python3
# importing required librariesimport mahotas as mhimport mahotas.demosimport numpy as npfrom pylab import imshow, show# getting nuclear imagenuclear = mh.demos.nuclear_image()print("Original Image i.e without filter")# show the original imageimshow(nuclear)show()# filtering the imagenuclear = nuclear[:, :, 0]print("Image with filter")# showing the imageimshow(nuclear)show() |
Output :
Example 2 :
Python3
# importing required librariesimport mahotas as mhimport mahotas.demosimport numpy as npfrom pylab import imshow, show# getting nuclear imagenuclear = mh.demos.nuclear_image()print("Original Image i.e without filter")# show the original imageimshow(nuclear)show()# filtering the imagenuclear = nuclear[500:, 500:, :]print("Image with filter")# showing the imageimshow(nuclear)show() |
Output :
