# 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:

 `# 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])) ` `    `

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:

 `# 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])) ` `    `

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

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