from numpy import *
from scipy import signal, misc
import matplotlib.pyplot as plt

image = misc.lena().astype(float32)
derfilt = array([1.0,-2,1.0],float32)
ck = signal.cspline2d(image,8.0)
deriv = signal.sepfir2d(ck, derfilt, [1]) + \
        signal.sepfir2d(ck, [1], derfilt)

# Alternatively we could have done::

# laplacian = array([[0,1,0],[1,-4,1],[0,1,0]],float32)
# deriv2 = signal.convolve2d(ck,laplacian,mode='same',boundary='symm')

plt.figure()
plt.imshow(image)
plt.gray()
plt.title('Original image')
plt.show()

plt.figure()
plt.imshow(deriv)
plt.gray()
plt.title('Output of spline edge filter')
plt.show()