Mahotas – RGB to XYZ Conversion

In this article we will see how we can covert rgb image to xyz image 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. Xyz is an additive color space based on how the eye interprets stimulus from light. Unlike other additive rgb like Rgb, Xyz is a purely mathematical space and the primary components are “imaginary”, meaning we can’t create the represented color in the physical by shining any sort of lights representing x, y, and z. 
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.colors.rgb2xyzmethod 

Syntax : mahotas.colors.rgb2xyz(img)
Argument :It takes image object as argument
Return : It returns image object  

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 lab
new_img = mahotas.colors.rgb2xyz(img)

# showing new image
print("New Image")
imshow(new_img)
show()

Strong :

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 lab
new_img = mahotas.colors.rgb2xyz(img)

# showing new image
print("New Image")
imshow(new_img)
show()

Strong :

Image

New Image