Python numpy indexing for image array

Question

I'm trying to switch to python from matlab and i have this problem.

imgMosaic is a an numpy array. You can see down there that the file resolution is 2548 x 4000 i'm trying to access the first "mini-image" (resolution 28 x 40) from imgMosaic, but i'm getting a file with resolution 28x4000 instead of 28x40 and i don't understand why.

imgMosaic = np.asarray(cv2.imread('../data/images/image.jpeg', cv2.IMREAD_COLOR))
print imgMosaic.shape
>> (2548, 4000, 3)
print imgMosaic[0:28][0:40][:]
>> (28, 4000, 3)

Use comma separated indexing : imgMosaic[0:28,0:40,:]

Divakar
– Divakar

2017-10-21 09:14:38 +00:00
Commented Oct 21, 2017 at 9:14 — Divakar
– Divakar, Commented Oct 21, 2017 at 9:14
Thanks very much. That was the problem.

Copacel
– Copacel

2017-10-21 09:17:18 +00:00
Commented Oct 21, 2017 at 9:17 — Copacel
– Copacel, Commented Oct 21, 2017 at 9:17

Codenics · Accepted Answer · 2021-06-01 09:33:16Z

1

Your indexing could be modified as:

imgMosaic[:28, :40, :]

First 28 row element, first 40 column elements and all elements in the last axis.

imgMosaic[:28, :40, :].shape
>>> (28,40,3)

answered Jun 1, 2021 at 9:33

Codenics

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