Why does rgb2gray use these weights for the weighted sum?

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Thomas Huepf
Thomas Huepf 2015 年 8 月 18 日
編集済み: kokila Mani 2017 年 11 月 30 日
From the documentation I find: "rgb2gray converts RGB values to grayscale values by forming a weighted sum of the R, G, and B components:
0.2989 * R + 0.5870 * G + 0.1140 * B"
Depending on which format you have it is sometimes more correct to use 0.2126 * R + 0.7156 * G + 0.0722 * B. Maybe the weights which rgb2gray.m uses apply more often (in a standard case where the user is not so specific about how precisely the conversion is done)? I am this 'lazy' kind of user but I would have choosen the alternative weights. But I guess matlab knows better than I - so I would like to know why they prefere their choise.

回答 (1 件)

blaat 2015 年 8 月 18 日
編集済み: blaat 2015 年 8 月 18 日
These values come from the BT.601 standard for use in colour video encoding, where they are used to compute luminance from an RGB-signal. It was probably optimised for accurate perceived brightness.
  3 件のコメント
kokila Mani
kokila Mani 2017 年 11 月 30 日
The image shows the sensitivity of our eye cones vs wavelength of primary colour(Red,green,blue).According to which green has high sensitivity then comes red,and blue. so if you see the weights "(0.2989 * R + 0.5870 * G + 0.1140 * B") we have high value for green weight(0.5870),then red(0.2989),then blue(0.1140).
Note:This is not an explanation for exact weight figure.


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