Why are these particular values used to convert image to grayscale in python?

Question

I am trying to convert my RGB image to Grayscale. While doing it, I came across the code:

np.dot(rgbImage[...,:3], [0.299, 0.587, 0.114])

Can anyone please explain this line and values taken.? (Please don't provide any Wikipedia link) searching for a simple explanation.

@ThierryLathuille Maybe, but colour conversions are a common thing in programming, comparable to e.g. text encoding. The way it is formulated, the question is perhaps too specific, but I think it is _good enough_. — zvone, Jul 31 '20 at 11:41
It is based on a standard. It balances the human eye response. — , Jul 31 '20 at 15:27

score 3 · Answer 1 · answered Jul 31 '20 at 11:35

3

It is like converting into Grayscale using weighted or Luminosity method

Luminosity = 0.299 × R + 0.587 × G + 0.114 × B

It means 29.9% for RED, 58.7% for Green, and 11.4% Blue.

answered Jul 31 '20 at 11:35

Axecalever

For more info, see [this answer](https://stackoverflow.com/a/596243/389289) – zvone Jul 31 '20 at 11:37

1 Answers1