Extracting the region
You can use numpy.nonzero()
mask_1c = mask[:, :, 0]
indexes = mask_1c.nonzero()
mask_1c
is there because in your previous question you have a 3 channel mask image.
Storing as a vector
If you'd rather store the content as a single array (instead of a tuple of arrays)
indexes_v = np.array(indexes).T # Returns an Nx2 matrix
Using the region
Let's say you then wanted to invert that region, for example:
image[indexes[0], indexes[1], :] = 255 - image[indexes[0], indexes[1], :]
where I've assumed that the image is of type np.uint8
(has a max of 255
).