moved example to doc

doc/examples/plot_16bitbilateral.py

@@ -0,0 +1,33 @@
+"""
+==============================
+Simplified bilateral filtering
+==============================
+
+to complete
+
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+
+from skimage import data
+from skimage.morphology import disk
+import skimage.rank as rank
+
+a8 = (data.coins()).astype('uint8')
+
+a16 = (data.coins()).astype('uint16')*16
+selem = np.ones((20,20),dtype='uint8')
+f1 = rank.percentile_mean(a8,selem = selem,p0=.1,p1=.9)
+f2 = rank.bilateral_mean(a16,selem = selem,s0=500,s1=500)
+selem = disk(50)
+f3 = rank.equalize(a16,selem = selem)
+
+# display results
+fig, axes = plt.subplots(nrows=3, figsize=(15,5))
+ax0, ax1, ax2 = axes
+
+ax0.imshow(np.hstack((a8,f1)))
+ax1.imshow(np.hstack((a16,f2)))
+ax2.imshow(np.hstack((a16,f3)))
+
+plt.show()