Hi Adam On Mon, 30 Dec 2013 22:37:43 -0800, Adam Hughes wrote:
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*
*imshow(test); *
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.
Here's a write-up of the data-type and range representation that scikit-image uses: http://scikit-image.org/docs/0.9.x/user_guide/data_types.html When visualizing data with Matplotlib, note that data is normalized by default, so you have to specify "vmin" and "vmax" to correctly display your generated background. Regards St�fan