problem in visualized image derived from npz file

Question

I am trying to open and visualize images of different ct slices in a npz formatted file to proceed my NN segmentation task later on. I used the following code:

data = np.load('case0005_slice060.npz')
image = data['image']
img = Image.fromarray(image,'RGB')

and finally, I could visualize the image, but it seems there is a problem somewhere that I can't understand. here is the output (the problem is that I may need to solve overlapped images but I don't know how)

Answer 1

Thanks. I normalized the image which was float32 and removed the RGB here is the final code:

from numpy import load
import matplotlib.pyplot as plt
def normalize8(I):
    mn = I.min()
    mx = I.max()

    mx -= mn

    I = ((I - mn)/mx) * 255
    return I.astype(np.uint8)

data = np.load('case0005_slice060.npz')
print(data.files)
image = data['image']
image=normalize8( image)
img = Image.fromarray(image)