mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-04 20:30:14 +08:00
Andreas Mueller
37 lines
1017 B
Python
37 lines
1017 B
Python
"""
|
|
"""
|
|
print __doc__
|
|
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
|
|
from skimage.data import lena
|
|
from skimage.segmentation import km_segmentation
|
|
from skimage.util import img_as_float
|
|
|
|
img = img_as_float(lena()).copy("C")
|
|
segments = km_segmentation(img, ratio=2.0, n_segments=200)
|
|
|
|
print("number of segments: %d" % len(np.unique(segments)))
|
|
|
|
plt.subplot(131, title="original")
|
|
plt.imshow(img, interpolation='nearest')
|
|
plt.axis("off")
|
|
|
|
plt.subplot(132, title="superpixels")
|
|
# shuffle the labels for better visualization
|
|
plt.imshow(segments, interpolation='nearest', cmap=plt.cm.prism)
|
|
plt.axis("off")
|
|
|
|
plt.subplot(133, title="mean color")
|
|
colors = [np.bincount(segments.ravel(), img[:, :, c].ravel()) for c in
|
|
xrange(img.shape[2])]
|
|
counts = np.bincount(segments.ravel())
|
|
colors = np.vstack(colors) / counts
|
|
plt.imshow(colors.T[segments], interpolation='nearest')
|
|
plt.axis("off")
|
|
|
|
plt.subplots_adjust(wspace=0.02, hspace=0.02, top=0.9,
|
|
bottom=0.02, left=0.02, right=0.98)
|
|
plt.show()
|