Inspect image data, smooth to remove noise and save channel in interest.



In [1]:

    
%run ../common.ipynb









    



Populating the interactive namespace from numpy and matplotlib



In [2]:

    
image = imread('../MP.tiff')



In [3]:

    
image.shape









    Out[3]:





(2111, 2198, 4)



In [5]:

    
image[:,:,0].shape









    Out[5]:





(2111, 2198)



In [16]:

    
imshow(image[:,:,0])









    Out[16]:





(<matplotlib.figure.Figure at 0x10d6d2f50>,
 <matplotlib.axes._subplots.AxesSubplot at 0x10d6cd3d0>,
 <matplotlib.image.AxesImage at 0x10d740310>)



In [14]:

    
image[100:110,100:110,3]









    Out[14]:





array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
       [255, 255, 255, 255, 255, 255, 255, 255, 255, 255]], dtype=uint8)



In [17]:

    
imsave('../MP.tiff', smooth(image[:,:,0]))