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 librariesimport mahotasimport mahotas.demosfrom pylab import gray, imshow, showimport numpy as np # loading imageimg = mahotas.demos.load('lena') # showing imageprint("Image")imshow(img)show()# rgb to labnew_img = mahotas.colors.rgb2xyz(img)# showing new imageprint("New Image")imshow(new_img)show() |
Strong :
Image
New Image
Another example
Python3
# importing required librariesimport mahotasimport numpy as npimport matplotlib.pyplot as pltimport os # loading imageimg = mahotas.imread('dog_image.png') # filtering imageimg = img[:, :, :3]# showing imageprint("Image")imshow(img)show()# rgb to labnew_img = mahotas.colors.rgb2xyz(img)# showing new imageprint("New Image")imshow(new_img)show() |
Strong :
Image
New Image
