I'm newbie with Python and OpenCV.
I have two Numpy Array, both with the same shape (240, 240)
. One of them will be a mask, like the following picture, and the other one will be an image.
The values in the mask
array are 0
or 1
. And the values in the img
are float, and has no limits, from 0.0
to ...
.
I want to use the mask to cut out the image:
- Where the mask pixels are black, the output array will have a black pixel.
- Where the mask pixels are white, the output array will have the same colour of the other array.
I can do the above algorithm with this code:
for i in range(0, mask.shape[0]):
if mask[i] = 0:
output[i] = 0
else
output[i] = img[i]
But I'm wondering is there is a function in OpenCV to do it.
I have also tried this:
import numpy as np
output = np.dstack((img, mask))
But output
has a (240, 240, 2)
shape.
Is there an OpenCV function to do that?