Mahotas – Sizes of Labeled Region

In this article we will see how we can obtain sizes of labeled region in mahotas. Labeled 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.label_size method

Syntax : mahotas.labeled_size(labeled_region)

Argument : It takes numpy.ndarray object as argument i.e labeled region

Return : It returns list of integer



Example 1:

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# importing required libraries
import mahotas as mh
import numpy as np
from pylab import imshow, show
  
# creating region
# numpy.ndarray
regions = np.zeros((10, 10), bool)
  
# setting 1 value in the region
regions[1, 1] = 1
regions[6, 6] = 1
regions[4, 4] = 1
regions[9, 9] = 1
  
# getting labeled function
labeled, nr_objects = mh.label(regions)
  
# showing the image with interpolation = 'nearest'
imshow(labeled, interpolation ='nearest')
show()
  
# getting sizes of labelled region
sizes = mh.labeled.labeled_size(labeled)
  
# printing sizes
for i in range(len(sizes)):
                 
    print("Size of region " + str(i) + " : " + str(sizes[i]))
     

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Output :

Size of region 0 : 96
Size of region 1 : 1
Size of region 2 : 1
Size of region 3 : 1
Size of region 4 : 1

Example 2:

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# importing required libraries
import mahotas as mh
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 labeled function
labeled, nr_objects = mh.label(regions)
  
# showing the image with interpolation = 'nearest'
imshow(labeled, interpolation ='nearest')
show()
  
# getting sizes of labelled region
sizes = mh.labeled.labeled_size(labeled)
  
# printing sizes
for i in range(len(sizes)):
                 
    print("Size of region " + str(i) + " : " + str(sizes[i]))
     

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Output :

Size of region 0 : 75
Size of region 1 : 9
Size of region 2 : 16



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