notebook.community

Edit and run



In [1]:

    
%run ../../common.ipynb
from skimage import filter









    



Populating the interactive namespace from numpy and matplotlib



In [2]:

    
image = imread('../mp.tif')
threshold_mask = filter.threshold_adaptive(image, 5)
image[np.invert(threshold_mask)] = 0
pngsave('mp_adaptive_threshold_gauss_5.png', 255-image)
from IPython.display import Image
Image('mp_adaptive_threshold_gauss_5.png')









    Out[2]:

Lets try a bigger mask



In [3]:

    
image = imread('../mp.tif')
threshold_mask = filter.threshold_adaptive(image, 10)
image[np.invert(threshold_mask)] = 0
pngsave('mp_adaptive_threshold_gauss_10.png', 255-image)
from IPython.display import Image
Image('mp_adaptive_threshold_gauss_10.png')









    Out[3]:

And a smaller one



In [4]:

    
image = imread('../mp.tif')
threshold_mask = filter.threshold_adaptive(image, 3)
image[np.invert(threshold_mask)] = 0
pngsave('mp_adaptive_threshold_gauss_3.png', 255-image)
from IPython.display import Image
Image('mp_adaptive_threshold_gauss_3.png')









    Out[4]: