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Mahotas – Local Minima in Image

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  • Last Updated : 31 May, 2021
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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

 

 


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