objects with their Delaunay graphs overlaid.

Hello All

I am not sure this a good place to ask this. I am just making a try.
I have and image and I would like to reproduced the Delaunay graphs
overlaid.
See the attached image for an idea.

I try the following code:

from matplotlib import pyplot as plt

from skimage.io import imread
from skimage.feature import corner_harris, corner_subpix, corner_peaks,
peak_local_max
from scipy.spatial import Delaunay
import matplotlib.pyplot as plt

image = imread("cup.png", as_grey='True')


#points = corner_peaks(corner_harris(image), min_distance=1)
points = peak_local_max(corner_harris(image), min_distance=2)
#coords_subpix = corner_subpix(image, coords, window_size=13)
tri = Delaunay(points)

#imgplot = plt.imshow(image,cmap='gray')
#plt.triplot(points[:,0], points[:,1], tri.simplices.copy())
#plt.plot(points[:,0], points[:,1], 'o')
#plt.show()
#print(image)

coords = peak_local_max(corner_harris(image), min_distance=2)
coords_subpix = corner_subpix(image, coords, window_size=13)

fig, ax = plt.subplots()
ax.imshow(image, interpolation='nearest', cmap=plt.cm.gray)
ax.plot(coords[:, 1], coords[:, 0], '.b', markersize=3)
#ax.plot(coords_subpix[:, 1], coords_subpix[:, 0], '+r', markersize=15)
#ax.axis((0, 350, 350, 0))
plt.show()


this code does not help. I attach also the cup image for a try.

best

franck

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