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RAG ThresholdingΒΆ
This example constructs a Region Adjacency Graph (RAG) and merges regions which are similar in color. We construct a RAG and define edges as the difference in mean color. We then join regions with similar mean color.

Out:
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
from skimage import data, segmentation, color
from skimage.future import graph
from matplotlib import pyplot as plt
img = data.coffee()
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()
Total running time of the script: ( 0 minutes 1.922 seconds)