# Mahotas – Removing Region at given position

• Last Updated : 21 Apr, 2021

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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