# Mahotas – RGB to XYZ Conversion

• Last Updated : 10 Dec, 2021

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`

My Personal Notes arrow_drop_up