In this article we will see how we can covert xyz image to rgb image in mahotas. 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. The CIELAB color space (also known as CIE L*a*b* or sometimes abbreviated as simply “Lab” color space) is a color space defined by the International Commission on Illumination (CIE) in 1976.. We use mahotas.colors.rgb2xyz method for converting rgb image to xyz image.
In this tutorial we will use “lena” image, below is the command to load it.
Below is the lena image
In order to do this we will use mahotas.colors.xyz2labmethod
Syntax : mahotas.colors.xyz2lab(img)
Argument :It takes image object as argument
Return : It returns image object
Below is the implementation
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course