m is the minimum of the three channel values (R, G, B) in color, again in the range 0 to 1.
Here are the steps to convert RGB to HSV and calculate saturation:
(1) Normalize the RGB values to the range [0, 1]:
R' = R / 255
G' = G / 255
B' = B / 255
(2) Find the maximum value V and the minimum value m:
V = max(R', G', B')
m = min(R', G', B')
(3) Calculate the saturation S:
If V = m (i.e., R' = G' = B'), then saturation S = 0 because the color is grayscale (no hue).
Otherwise, S = (V - m) / V
Below is an example of calculating saturation using RGB values:
Suppose we have RGB colors (100, 150, 200):
(1) Normalized RGB values:
R' = 100 / 255 ≈ 0.3922
G' = 150 / 255 ≈ 0.5882
B' = 200 / 255 ≈ 0.7843
(2) Find the maximum value V and the minimum value m:
V = max(0.3922, 0.5882, 0.7843) = 0.7843
m = min(0.3922, 0.5882, 0.7843) = 0.3922
(3) Calculate the saturation S:
S = (0.7843 - 0.3922) / 0.7843 ≈ 0.5013
Thus, the saturation of the RGB colors (100, 150, 200) is approximately 0.5013, indicating that this is a moderately saturated color.
Here are the steps to convert RGB to HSV and calculate saturation:
(1) Normalize the RGB values to the range [0, 1]:
R' = R / 255
G' = G / 255
B' = B / 255
(2) Find the maximum value V and the minimum value m:
V = max(R', G', B')
m = min(R', G', B')
(3) Calculate the saturation S:
If V = m (i.e., R' = G' = B'), then saturation S = 0 because the color is grayscale (no hue).
Otherwise, S = (V - m) / V
Below is an example of calculating saturation using RGB values:
Suppose we have RGB colors (100, 150, 200):
(1) Normalized RGB values:
R' = 100 / 255 ≈ 0.3922
G' = 150 / 255 ≈ 0.5882
B' = 200 / 255 ≈ 0.7843
(2) Find the maximum value V and the minimum value m:
V = max(0.3922, 0.5882, 0.7843) = 0.7843
m = min(0.3922, 0.5882, 0.7843) = 0.3922
(3) Calculate the saturation S:
S = (0.7843 - 0.3922) / 0.7843 ≈ 0.5013
Thus, the saturation of the RGB colors (100, 150, 200) is approximately 0.5013, indicating that this is a moderately saturated color.