remove local demo from git

skimage/filter/rank/.gitignore

@@ -0,0 +1 @@
+demo/

skimage/filter/rank/demo/demo_all.py

@@ -1,77 +0,0 @@
-import matplotlib.pyplot as plt
-from pprint import pprint
-
-from skimage import data
-from skimage.morphology.selem import disk
-import skimage.filter.rank as rank
-
-def plot_all():
-    a8 = data.camera()
-    a16 = a8.astype('uint16')*16
-    selem = disk(5)
-
-    name_list = sorted([n for n in dir(rank) if n[0] is  not '_'])
-    print name_list
-
-    for n in name_list:
-        if n.rfind('bilateral')==0:
-            print n
-            method = eval('rank.%s'%n)
-            if type(method) == type(rank.maximum):
-                print method
-                f8 = method(a8,selem = selem,s0=10,s1=10)
-                f16 = method(a16,selem = selem,s0=10,s1=10)
-                plt.figure()
-                plt.subplot(2,2,1)
-                plt.imshow(a8)
-                plt.colorbar()
-                plt.subplot(2,2,2)
-                plt.imshow(f8)
-                plt.colorbar()
-                plt.subplot(2,2,3)
-                plt.imshow(f16)
-                plt.colorbar()
-                plt.title(method)
-    for n in name_list:
-        if n.rfind('percentile')==0:
-            print n
-            method = eval('rank.%s'%n)
-            if type(method) == type(rank.maximum):
-                print method
-                f8 = method(a8,selem = selem,p0=.1,p1=.9)
-                f16 = method(a16,selem = selem,p0=.1,p1=.9)
-                plt.figure()
-                plt.subplot(2,2,1)
-                plt.imshow(a8)
-                plt.colorbar()
-                plt.subplot(2,2,2)
-                plt.imshow(f8)
-                plt.colorbar()
-                plt.subplot(2,2,3)
-                plt.imshow(f16)
-                plt.colorbar()
-                plt.title(method)
-    for n in name_list:
-        if n.find('percentile')==-1 and n.find('bilateral')==-1:
-            print n
-            method = eval('rank.%s'%n)
-            if type(method) == type(rank.maximum):
-                print method
-                f8 = method(a8,selem = selem)
-                f16 = method(a16,selem = selem)
-                plt.figure()
-                plt.subplot(2,2,1)
-                plt.imshow(a8)
-                plt.colorbar()
-                plt.subplot(2,2,2)
-                plt.imshow(f8)
-                plt.colorbar()
-                plt.subplot(2,2,3)
-                plt.imshow(f16)
-                plt.colorbar()
-                plt.title(method)
-    plt.show()
-
-if __name__ == '__main__':
-    plot_all()
-    pprint(dir(rank))

skimage/filter/rank/demo/demo_single.py

@@ -1,39 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-from skimage import data
-from skimage.morphology.selem import disk
-import skimage.filter.rank as rank
-from skimage.filter import threshold_otsu
-
-if __name__ == '__main__':
-    p8 = data.page()
-
-    radius = 10
-    selem = disk(radius)
-
-    loc_otsu = rank.otsu(p8,selem)
-    t_glob_otsu = threshold_otsu(p8)
-    glob_otsu = p8>=t_glob_otsu
-
-
-    plt.figure()
-    plt.subplot(2,2,1)
-    plt.imshow(p8,cmap=plt.cm.gray)
-    plt.xlabel('original')
-    plt.colorbar()
-    plt.subplot(2,2,2)
-    plt.imshow(loc_otsu,cmap=plt.cm.gray)
-    plt.xlabel('local Otsu ($radius=%d$)'%radius)
-    plt.colorbar()
-    plt.subplot(2,2,3)
-    plt.imshow(p8>=loc_otsu,cmap=plt.cm.gray)
-    plt.xlabel('original>=local Otsu'%t_glob_otsu)
-    plt.subplot(2,2,4)
-    plt.imshow(glob_otsu,cmap=plt.cm.gray)
-    plt.xlabel('global Otsu ($t=%d$)'%t_glob_otsu)
-    plt.show()
-
-
-
-

skimage/filter/rank/demo/test_morph_contr_enh.py

@@ -1,28 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-import gdal
-
-from skimage.morphology import disk
-import skimage.filter.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()
-
-
-
-

skimage/filter/rank/demo/test_rank.py

@@ -1,42 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-
-from skimage import data
-from skimage.morphology.selem import disk
-import skimage.filter.rank as rank
-
-print dir(rank)
-
-print rank.mean
-print rank.percentile_mean
-print rank.bilateral_mean
-
-a8 = data.camera()
-a16 = a8.astype('uint16')*16
-selem = disk(10)
-
-f8 = rank.mean(a8,selem)
-f16 = rank.mean(a16,selem)
-
-plt.figure()
-plt.imshow(np.hstack((a8,f8)))
-plt.colorbar()
-plt.figure()
-plt.imshow(np.hstack((a16,f16)))
-plt.colorbar()
-
-f8 = rank.percentile_mean(a8,selem,p0=.1,p1=.9)
-f16 = rank.percentile_mean(a16,selem,p0=.1,p1=.9)
-
-plt.figure()
-plt.imshow(np.hstack((a8,f8)))
-plt.colorbar()
-plt.figure()
-plt.imshow(np.hstack((a16,f16)))
-plt.colorbar()
-
-plt.show()
-
-
-
-