please see my mail earlier，skan and sknw on github.
----- 原始邮件 -----
发件人: Leena Chourey
收件人: Mailing list for scikit-image (http://scikit-image.org)
主题: [scikit-image] Re: Converting an image to a skeleton
日期: 2018-11-29 19:40
I need solution for same. Pls share.
On Thu, 29 Nov 2018, 16:37 Deepa, wrote:
I would like to generate a skeleton out of an image. The resulting output of the skeleton image has disconnected edges.
import skimage
from skimage import data,io,filters
import numpy as np
import cv2
import matplotlib.pyplot as plt
from skimage.filters import threshold_adaptive,threshold_mean
from skimage.morphology import binary_dilation
from skimage import feature
from skimage.morphology import skeletonize_3d
imgfile = "Bagah.jpeg"
im = cv2.imread(imgfile)
image = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
thresh = threshold_mean(image)
thresh = threshold_mean(thresh)
binary = image > thresh
#dilate = skimage.morphology.binary_dilation(binary)
gaussian = skimage.filters.gaussian(binary)
edges = filters.sobel(gaussian)
#dilate = feature.canny(edges)#binary,sigma=0)
skeleton = skeletonize_3d(gaussian)#binary)
fig, axes = plt.subplots(nrows=2,ncols=2, figsize=(8, 2))
ax = axes.ravel()
ax[0].imshow(gaussian, cmap=plt.cm.gray)
ax[0].set_title('gaussian')
ax[1].imshow(skeleton, cmap=plt.cm.gray)
ax[1].set_title('skeleton')
for a in ax:
a.axis('off')
plt.show()
Please find the attachments of my input and output files.
I would like to translate this skeleton into a graph with nodes and edges.
Could someone suggest how to obtain a skeleton with connected edges?
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