Hi all,
I was hoping the community may be able to help me. I want to convert rgb
values to their L*A*B* value but I'm not sure of the best way to do so so
the setup will scale when the dataframe size increases.
I saw on stackoverflow that skimage's conversion method
http://scikit-image.org/docs/d
306 -0.517359
> 2 0.0196080.0 0.015686 0.332169 1.741216 -1.523564
>
>
>
> Just make sure your RGB values are in the right data type and range for
> scikit-image:
> http://scikit-image.org/docs/dev/user_guide/data_types.html
Hi all,
If I use the following array of LAB values
array([[[ 48.07851346, -14.69400135, 25.2170507 ],
[ 63.21232753, -3.65444198, 6.67734193],
[ 45.80027308, -2.47952304, 11.5073341 ],
[ 46.84900559, -10.37025167, 19.92527996],
[ 44.92476952, 19.36861848, 2.97238555],
[ 35.50132805, 5.890865
g colors scaled as floats between
> 0 and 1 while colormine.org is returning 8 bit integers scaled 0-255.
>
> Try multiplying by 255 and comparing the outputs.
>
> On Mar 27, 2017 7:02 AM, "Michael O'Brien" wrote:
>
> Hi all,
>
>
> If I use the following arra
safe?
On Mon, 27 Mar 2017 at 14:36 Michael O'Brien wrote:
> I'm not sure what illuminant colormine uses but if you multiple by 255 you
> get 151,154,141 which it getting closer to what I expect (greenish colour)
> with 105,119,70 still being much closer
>
> On Mon, 27
