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Python Script to convert color from RGB ColorSpace to CIE Lab Color Space
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import numpy as np | |
def func(t): | |
if (t > 0.008856): | |
return np.power(t, 1/3.0); | |
else: | |
return 7.787 * t + 16 / 116.0; | |
#Conversion Matrix | |
matrix = [[0.412453, 0.357580, 0.180423], | |
[0.212671, 0.715160, 0.072169], | |
[0.019334, 0.119193, 0.950227]] | |
# RGB values lie between 0 to 1.0 | |
rgb = [1.0, 0, 0] # RGB | |
cie = np.dot(matrix, rgb); | |
cie[0] = cie[0] /0.950456; | |
cie[2] = cie[2] /1.088754; | |
# Calculate the L | |
L = 116 * np.power(cie[1], 1/3.0) - 16.0 if cie[1] > 0.008856 else 903.3 * cie[1]; | |
# Calculate the a | |
a = 500*(func(cie[0]) - func(cie[1])); | |
# Calculate the b | |
b = 200*(func(cie[1]) - func(cie[2])); | |
# Values lie between -128 < b <= 127, -128 < a <= 127, 0 <= L <= 100 | |
Lab = [b , a, L]; | |
# OpenCV Format | |
L = L * 255 / 100; | |
a = a + 128; | |
b = b + 128; | |
Lab_OpenCV = [b , a, L]; | |
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