Python: scikit-image canny 边缘检测

这个用例说明canny 边缘检测的用法

import numpy as np

import matplotlib.pyplot as plt

from scipy import ndimage as ndi

from skimage import feature

# Generate noisy image of a square

im = np.zeros((128, 128))

im[32:-32, 32:-32] = 1

im = ndi.rotate(im, 15, mode='constant')

im = ndi.gaussian_filter(im, 4)

im += 0.2 * np.random.random(im.shape)

# Compute the Canny filter for two values of sigma

edges1 = feature.canny(im)

edges2 = feature.canny(im, sigma=3)

# display results

fig, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(8, 3), sharex=True, sharey=True)

ax1.imshow(im, cmap=plt.cm.jet)

ax1.axis('off')

ax1.set_title('noisy image', fontsize=20)

ax2.imshow(edges1, cmap=plt.cm.gray)

ax2.axis('off')

ax2.set_title('Canny filter, $\sigma=1$', fontsize=20)

ax3.imshow(edges2, cmap=plt.cm.gray)

ax3.axis('off')

ax3.set_title('Canny filter, $\sigma=3$', fontsize=20)

fig.subplots_adjust(wspace=0.02, hspace=0.02, top=0.9,

                    bottom=0.02, left=0.02, right=0.98)

plt.show()

参考来源： http://scikit-image.org/docs/dev/auto_examples/

Python: scikit-image canny 边缘检测的相关教程结束。