numpy 3D-image array to 2D

Question

I have a 3D-numpy array of a gray image, which looks something like this:

[[[120,120,120],[67,67,67]]...]

Obviously I have every R G and B the same because it is a gray image - this is redundent. I want to get a new 2D array which looks like:

[[120,67]...]

Which means to take every pixel's array [x,x,x] to just the value x

How can I do that?

bogatron · Accepted Answer · 2013-01-16 18:21:42Z

21

If the shape of your ndarray is (M, N, 3), then you can get an (M, N) gray-scale image like this:

>>> gray = img[:,:,0]

answered Jan 16, 2013 at 18:21

bogatron

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