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Mahotas – RGB to Gray Conversion

  • Last Updated : 02 Dec, 2021

In this article we will see how we can convert rgb image to gray in mahotas. An RGB image, sometimes referred to as a truecolor image, is stored in MATLAB as an m-by-n-by-3 data array that defines red, green, and blue color components for each individual pixel.
In this tutorial we will use “lena” image, below is the command to load it. 

mahotas.demos.load('lena')

Below is the lena image 

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In order to do this we will use mahotas.colors.rgb2greymethod 

Syntax : mahotas.colors.rgb2gray(img)
Argument :It takes image object as argument
Return : It returns image object  

Note : It can convert image to greyscale as using rgb2grey or rgb2gray, both work). This conversion uses a visually realistic method (which weighs the green channel more heavily as human eyes are more sensitive to it)
Below is the implementation 

Python3




# importing required libraries
import mahotas
import mahotas.demos
from pylab import gray, imshow, show
import numpy as np
  
# loading image
img = mahotas.demos.load('lena')
 
  
# showing image
print("Image")
imshow(img)
show()
 
# rgb to gray
new_img = mahotas.colors.rgb2gray(img)
 
# showing new image
print("New Image")
imshow(new_img)
show()

Output : 

Image

New Image

Another example 

Python3




# importing required libraries
import mahotas
import numpy as np
import matplotlib.pyplot as plt
import os
  
# loading image
img = mahotas.imread('dog_image.png')
       
# filtering image
img = img[:, :, :3]
 
# showing image
print("Image")
imshow(img)
show()
 
# rgb to gray
new_img = mahotas.colors.rgb2gray(img)
 
# showing new image
print("New Image")
imshow(new_img)
show()

Output : 

Image

New Image




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