Used new function to generate binary blobs in existing gallery example

doc/examples/plot_random_walker_segmentation.py

@@ -25,30 +25,11 @@ from scipy import ndimage
 import matplotlib.pyplot as plt
 
 from skimage.segmentation import random_walker
-
-
-def microstructure(l=256):
-    """
-    Synthetic binary data: binary microstructure with blobs.
-
-    Parameters
-    ----------
-
-    l: int, optional
-        linear size of the returned image
-    """
-    n = 5
-    x, y = np.ogrid[0:l, 0:l]
-    mask = np.zeros((l, l))
-    generator = np.random.RandomState(1)
-    points = l * generator.rand(2, n ** 2)
-    mask[(points[0]).astype(np.int), (points[1]).astype(np.int)] = 1
-    mask = ndimage.gaussian_filter(mask, sigma=l / (4. * n))
-    return (mask > mask.mean()).astype(np.float)
-
+from skimage.data import binary_blobs
+import skimage
 
 # Generate noisy synthetic data
-data = microstructure(l=128)
+data = skimage.img_as_float(binary_blobs(length=128, seed=1))
 data += 0.35 * np.random.randn(*data.shape)
 markers = np.zeros(data.shape, dtype=np.uint)
 markers[data < -0.3] = 1