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Mahotas – Image Overlay

  • Last Updated : 12 May, 2021

In this article we will see how we can apply image overlay in mahotas. Image overlay in mahotas create an image which is greyscale, but with possible boolean overlays.

In this tutorial we will use “lena” image, below is the command to load it.

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mahotas.demos.load('lena')

Below is the lena image 
 



In order to do this we will use mahotas.overlay method
Syntax : mahotas.overlay(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()
 
# Overlay method
new_img = mahotas.overlay(img)
  
 
# showing image
print("Overlay Image")
imshow(new_img)
show()

Output :

Image

 



Overlay Image

 

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()
 
# Overlay method
new_img = mahotas.overlay(img)
  
 
# showing image
print("Overlay Image")
imshow(new_img)
show()

Output :

Image

 

Overlay Image

 

 




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