add local test

doc/examples/plot_watershed.py

@@ -26,7 +26,7 @@ See Wikipedia_ for more details on the algorithm.
 """
 
 import numpy as np
-from scipy import ndimage
+e
 import matplotlib.pyplot as plt
 from skimage.morphology import watershed, is_local_maximum
 

skimage/rank/tests/test_morph_contr_enh.py

@@ -0,0 +1,28 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import gdal
+
+from skimage.morphology import disk
+import skimage.rank as rank
+
+filename = 'iko_pan_Ja1.tif'
+im16 = gdal.Open(filename).ReadAsArray().astype(np.uint16)
+
+plt.figure()
+plt.imshow(im16,cmap=plt.cm.gray)
+plt.colorbar()
+
+f0 = rank.median(im16,disk(1))
+f1 = rank.bilateral_mean(im16,disk(20),s0=200,s1=200)
+f2 = rank.equalize(f1,disk(10))
+f3 = rank.bottomhat(f1,disk(1))
+
+plt.figure()
+plt.imshow(f2,cmap=plt.cm.gray,interpolation='nearest')
+plt.colorbar()
+
+plt.show()
+
+
+
+