from skimage import io, segmentation, color

from skimage.future import graph

from matplotlib import pyplot as plt

img = io.imread("images/sample.jpg")

labels1 = segmentation.slic(img, compactness=30, n_segments=400, start_label=1)

out1 = color.label2rgb(labels1, img, kind='avg', bg_label=0)

g = graph.rag_mean_color(img, labels1)

labels2 = graph.cut_threshold(labels1, g, 29)

out2 = color.label2rgb(labels2, img, kind='avg', bg_label=0)

fig, ax = plt.subplots(nrows=2, sharex=True, sharey=True,

figsize=(6, 8))

ax[0].imshow(out1)

ax[1].imshow(out2)

for a in ax:

a.axis('off')

plt.tight_layout()

plt.show()