Mahotas – Local Minima in Image

• Last Updated : 31 May, 2021

In this article we will see how we can find local minima of the image in mahotas. Local minima is basically local peaks in the image. In this tutorial we will use “lena” image, below is the command to load it.

`mahotas.demos.load('lena')`

Below is the lena image

In order to do this we will use mahotas.locmin method
Syntax : mahotas.locmin(img)
Argument : It takes image object as argument
Return : It returns image object

Note : Input image should be filtered or should be loaded as grey
In order to filter the 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

`image = image[:, :, 0]`

Below is the implementation

Python3

 `# importing required libraries``import` `mahotas``import` `mahotas.demos``from` `pylab ``import` `gray, imshow, show``import` `numpy as np``import` `matplotlib.pyplot as plt``  ` `# loading image``img ``=` `mahotas.demos.load(``'lena'``)`  `  ` `# filtering image``img ``=` `img.``max``(``2``)` `print``(``"Image"``)``  ` `# showing image``imshow(img)``show()``# getting local minima of the image``new_img ``=` `mahotas.locmin(img)`` `  `# showing image``print``(``"Local Minima"``)``imshow(new_img)``show())`

Output :

`Image`

`Local Minima`

Another example

Python3

 `# importing required libraries``import` `mahotas``import` `numpy as np``from` `pylab ``import` `gray, imshow, show``import` `os``import` `matplotlib.pyplot as plt`` ` `# loading image``img ``=` `mahotas.imread(``'dog_image.png'``)`  `# filtering image``img ``=` `img[:, :, ``0``]``  ` `print``(``"Image"``)``  ` `# showing image``imshow(img)``show()` `# getting local minima of the image``new_img ``=` `mahotas.locmin(img)`` `  `# showing image``print``(``"Local Minima"``)``imshow(new_img)``show()`

Output :

`Image`

`Local Minima`

My Personal Notes arrow_drop_up