Mahotas – Removing Region at given position
In this article we will see how we can remove the region at given position in mahotas. Labelled images are integer images where the values correspond to different regions. I.e., region 1 is all of the pixels which have value 1, region two is the pixels with value 2, and so on. By convention, region 0 is the background and often handled differently. We can create a labelled region with the help of mahotas.label method.
In order to do this we will use mahotas.labelled.remove_regions method
Syntax : mahotas.labelled.remove_regions(labeled_img, i, j)
Argument : It takes labelled image and two integer representing the region
Return : It returns numpy.ndarray i.e image object
Example 1:
Python3
# importing required libraries import mahotas import numpy as np from pylab import imshow, show import os # loading image img = mahotas.imread( 'dog_image.png' ) # setting filter to the image img = img[:, :, 0 ] # setting gaussian filter img = mahotas.gaussian_filter(img, 15 ) # setting threshold value img = (img> img.mean()) # creating a labelled image labeled1, n_nucleus1 = mahotas.label(img) # showing the labelled image print ( "Labelled Image" ) imshow(labelled1) show() # removing region labelled2 = mahotas.labelled.remove_regions(labelled1, 1 , 1 ) # showing the labelled image print ( "Labelled Image with removed region" ) imshow(labelled2) show() |
Output :
Example 2:
Python3
# importing required libraries import mahotas import numpy as np from pylab import imshow, show # creating region # numpy.ndarray regions = np.zeros(( 10 , 10 ), bool ) # setting 1 value to the region regions[: 3 , : 3 ] = 1 regions[ 6 :, 6 :] = 1 # getting labelled function labelled, nr_objects = mahotas.label(regions) print ( "Labelled Image" ) # showing the image with interpolation = 'nearest' imshow(labelled, interpolation = 'nearest' ) show() # removing region labelled2 = mahotas.labelled.remove_regions(labelled, 1 , 1 ) # showing the labelled image print ( "Labelled Image with removed region" ) imshow(labelled2) show() |
Output :
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