A Computational Introduction to Digital Image Processing, 2nd Edition

334 A Computational Introduction to Digital Image Processing, Second Edition

Python

In : def zs

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fun(x,parity):

...: n = np.reshape(x,[3,3])

...: n[1,1] = 0

...: B = n.sum()

...: X = sk.measure.label(n,background=0).max()+1

...: out = (B>=2) and (B<=6) and (X==1)

...: if parity==0:

...: out = out & (x[1]==0 or x[3]==0 or (x[5]==0 and x[7]==0))

...: elif parity==1:

...: out = out & (x[5]==0 or x[7] ==0 or (x[1]==0 and x[3]==0))

...: return out

The functions will be applied using the ndimage.generic

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filter method:

Python

In : from scipy.ndimage import generic

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filter as gfilt

In : L = zeros((12,10)); L[1:11,1:6]=1; L[6:11,6:9]=1;

In : prev = np.copy(L)

In : curr ...