31 Dec 2013 31 Dec '13
I noticed recently that matplotlib.colors limits RGB values to a range (0 - 1), while in scikit image, RGB values can be much larger. For example:
*test = np.zeros( (500,500,3) )*
*test[:,:,0]=50* *test[:,:,1]=19* *test[:,:,2]=25*
Produces a teal background. I was curious how the color teal is derived from this? I tried normalizing to 255 and and 50 but neither seemed to produce the same teal color.