1 | initial version |
I don't have any android experience, but you can easily calculate luminosity like so...
1) Splitting image into R, G, B values, something like b, g, r = cv2.split(img)
2) Average the b, g, r
values over the entire image --> b_avg = average(b)
3) compute luminosity w/ the following equation: double luminance = r_avg*0.299 + g_avg*0.587 + b_avg*0.114
from this tutorial:
"The reason these values are weighted is because pure red, green and blue are actually darker/lighter than each other, with green being the darkest and blue being the lightest."
Alternatively, just cv2.cvtColor from RGB to HSL and use the average L value.
2 | No.2 Revision |
I don't have any android experience, but you can easily calculate luminosity like so...
1) Splitting image into R, G, B values, something like b, g, r = cv2.split(img)
2) Average the b, g, r
values over the entire image --> b_avg = average(b)
3) compute luminosity w/ the following equation: double luminance = r_avg*0.299 + g_avg*0.587 + b_avg*0.114
from this tutorial:
"The reason these values are weighted is because pure red, green and blue are actually darker/lighter than each other, with green being the darkest and blue being the lightest."
Alternatively, just cv2.cvtColor from RGB to HSL and use the average L value.
3 | No.3 Revision |
I don't have any android experience, but you can easily calculate luminosity like so...
1) Splitting image into R, G, B values, something like b, g, r = cv2.split(img)
2) Average the b, g, r
values over the entire image --> b_avg = average(b)
3) compute luminosity w/ the following equation: double
luminance luminosity = r_avg*0.299 + g_avg*0.587 + b_avg*0.114
from this tutorial:
"The reason these values are weighted is because pure red, green and blue are actually darker/lighter than each other, with green being the darkest and blue being the lightest."