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https://github.com/wassname/scikit-image.git
synced 2026-07-21 12:50:27 +08:00
add full test
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@@ -14,7 +14,7 @@ from generic import find_bitdepth
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import _crank16_bilateral
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__all__ = ['bilateral_mean']
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__all__ = ['bilateral_mean','bilateral_pop']
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def bilateral_mean(image, selem, out=None, mask=None, shift_x=False, shift_y=False, s0=10, s1=10):
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@@ -13,8 +13,8 @@ from generic import find_bitdepth
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import _crank16_percentiles,_crank8_percentiles
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__all__ = ['percentile_autolevel','percentile_gradient',
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'percentile_mean','percentile_mean_substraction','percentile_median',
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'percentile_minimum','percentile_modal','percentile_morph_contr_enh','percentile_pop']
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'percentile_mean','percentile_mean_substraction',
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'percentile_morph_contr_enh','percentile_pop']
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def percentile_autolevel(image, selem, out=None, mask=None, shift_x=False, shift_y=False, p0=.0, p1=1.):
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"""Return greyscale local autolevel of an image.
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@@ -4,100 +4,75 @@ from pprint import pprint
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from skimage import data
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from skimage.morphology.selem import disk
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from skimage.rank import _crank8,_crank8_percentiles
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from skimage.rank import _crank16,_crank16_percentiles,_crank16_bilateral
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import skimage.rank as rank
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def plot_all():
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a8 = data.camera()
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a16 = a8.astype('uint16')*16
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# selem = np.ones((30,30),dtype='uint8')
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selem = disk(5)
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name_list = sorted([n for n in dir(rank) if n[0] is not '_'])
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print name_list
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for n in dir(_crank16):
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method = eval('_crank16.%s'%n)
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t = type(method)
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if t == type(_crank8.maximum):
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print n,t
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f = method(a16,selem = selem,bitdepth=12)
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plt.figure()
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plt.subplot(1,2,1)
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plt.imshow(a16)
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plt.colorbar()
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plt.subplot(1,2,2)
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plt.imshow(f)
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plt.colorbar()
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plt.title(method)
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for n in dir(_crank8):
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method = eval('_crank8.%s'%n)
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t = type(method)
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if t == type(_crank8.maximum):
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print n,t
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f = method(a8,selem = selem)
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plt.figure()
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plt.subplot(1,2,1)
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plt.imshow(a8)
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plt.colorbar()
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plt.subplot(1,2,2)
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plt.imshow(f)
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plt.colorbar()
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plt.title(method)
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for n in dir(_crank8_percentiles):
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method = eval('_crank8_percentiles.%s'%n)
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t = type(method)
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if t == type(_crank8.maximum):
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print n,t
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f = method(a8,selem = selem,p0=.1,p1=.9)
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plt.figure()
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plt.subplot(1,2,1)
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plt.imshow(a8)
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plt.colorbar()
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plt.subplot(1,2,2)
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plt.imshow(f)
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plt.colorbar()
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plt.title(method)
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for n in dir(_crank16_percentiles):
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method = eval('_crank16_percentiles.%s'%n)
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t = type(method)
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if t == type(_crank8.maximum):
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print n,t
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f = method(a16,selem = selem,bitdepth=12,p0=.1,p1=.9)
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plt.figure()
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plt.subplot(1,2,1)
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plt.imshow(a16)
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plt.colorbar()
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plt.subplot(1,2,2)
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plt.imshow(f)
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plt.colorbar()
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plt.title(method)
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selem = disk(50)
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for n in dir(_crank16_bilateral):
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method = eval('_crank16_bilateral.%s'%n)
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t = type(method)
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if t == type(_crank8.maximum):
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print n,t
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f = method(a16,selem = selem,bitdepth=12,s0=300,s1=300)
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plt.figure()
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plt.subplot(1,2,1)
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plt.imshow(a16)
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plt.colorbar()
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plt.subplot(1,2,2)
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plt.imshow(f)
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plt.colorbar()
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plt.title(method)
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#
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for n in name_list:
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if n.rfind('bilateral')==0:
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print n
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method = eval('rank.%s'%n)
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if type(method) == type(rank.maximum):
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print method
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f8 = method(a8,selem = selem,s0=10,s1=10)
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f16 = method(a16,selem = selem,s0=10,s1=10)
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plt.figure()
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plt.subplot(2,2,1)
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plt.imshow(a8)
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plt.colorbar()
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plt.subplot(2,2,2)
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plt.imshow(f8)
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plt.colorbar()
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plt.subplot(2,2,3)
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plt.imshow(f16)
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plt.colorbar()
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plt.title(method)
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for n in name_list:
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if n.rfind('percentile')==0:
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print n
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method = eval('rank.%s'%n)
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if type(method) == type(rank.maximum):
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print method
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f8 = method(a8,selem = selem,p0=.1,p1=.9)
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f16 = method(a16,selem = selem,p0=.1,p1=.9)
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plt.figure()
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plt.subplot(2,2,1)
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plt.imshow(a8)
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plt.colorbar()
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plt.subplot(2,2,2)
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plt.imshow(f8)
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plt.colorbar()
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plt.subplot(2,2,3)
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plt.imshow(f16)
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plt.colorbar()
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plt.title(method)
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for n in name_list:
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if n.find('percentile')==-1 and n.find('bilateral')==-1:
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print n
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method = eval('rank.%s'%n)
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if type(method) == type(rank.maximum):
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print method
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f8 = method(a8,selem = selem)
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f16 = method(a16,selem = selem)
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plt.figure()
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plt.subplot(2,2,1)
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plt.imshow(a8)
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plt.colorbar()
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plt.subplot(2,2,2)
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plt.imshow(f8)
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plt.colorbar()
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plt.subplot(2,2,3)
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plt.imshow(f16)
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plt.colorbar()
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plt.title(method)
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plt.show()
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if __name__ == '__main__':
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# plot_all()
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pprint(dir(_crank8))
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plot_all()
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pprint(dir(rank))
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