build net work from nd skeleton image
ske: should be a nd skeleton image return: is a networkx Graph object
graph.node[id]['pts'] : Numpy(x, n), coordinates of nodes points graph.node[id]['o']: Numpy(n), centried of the node graph.edge(id1, id2)['pts']: Numpy(x, n), sequence of the edge point graph.edge(id1, id2)['weight']: float, length of this edge
build Graph by Skeleton, then plot as a vector Graph in matplotlib.
from skimage.morphology import skeletonize
from skimage import data
import sknw
# open and skeletonize
img = data.horse()
ske = skeletonize(~img).astype(np.uint16)
# build graph from skeleton
graph = sknw.build_sknw(ske)
# draw image
plt.imshow(img, cmap='gray')
# draw edges by pts
for (s,e) in graph.edges():
ps = graph[s][e]['pts']
plt.plot(ps[:,1], ps[:,0], 'green')
# draw node by o
node, nodes = graph.node, graph.nodes()
ps = np.array([node[i]['o'] for i in nodes])
plt.plot(ps[:,1], ps[:,0], 'r.')
# title and show
plt.title('Build Graph')
plt.show()