Added example

doc/examples/plot_rag_meancolor.py

@@ -0,0 +1,41 @@
+from skimage import graph
+from skimage import segmentation
+from skimage import data, io
+import numpy as np
+from matplotlib import pyplot as plt
+
+
+def label_mask_img(img, label):
+
+    out = np.zeros_like(img)
+
+    red = img[:, :, 0]
+    green = img[:, :, 1]
+    blue = img[:, :, 2]
+
+    for i in range(label.max()):
+        mask = label == i
+
+        r = np.average(red[mask])
+        g = np.average(green[mask])
+        b = np.average(blue[mask])
+
+        # print r,g,b
+        out[mask] = r, g, b
+
+    return out
+
+img = data.coffee()
+
+labels1 = segmentation.slic(img, compactness=30, n_segments=400)
+out1 = label_mask_img(img, labels1)
+
+g = graph.rag_meancolor(img, labels1)
+labels2 = graph.threshold_cut(labels1, g, 30)
+out2 = label_mask_img(img, labels2)
+
+plt.figure()
+io.imshow(out1)
+plt.figure()
+io.imshow(out2)
+io.show()