Mahotas – RGB to LAB Conversion
In this article we will see how we can covert rgb image to CIE L*a*b* 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. 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.
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.rgb2sepiamethod
Syntax : mahotas.colors.rgb2lab(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.rgb2lab(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.rgb2lab(img) # showing new image print ( "New Image" ) imshow(new_img) show() |
Strong :
Image
New Image
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