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https://github.com/wassname/scikit-image.git
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add demo all
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@@ -2,23 +2,63 @@ import numpy as np
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import matplotlib.pyplot as plt
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from skimage import data
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from skimage.rank import crank8_percentiles
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from skimage.rank import crank16_bilateral
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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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if __name__ == '__main__':
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a8 = (data.coins()).astype('uint8')
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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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a16 = (data.coins()).astype('uint16')*16
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selem = np.ones((20,20),dtype='uint8')
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f1 = crank8_percentiles.mean(a8,selem = selem,p0=.1,p1=.9)
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f2 = crank16_bilateral.mean(a16,selem = selem,bitdepth=12,s0=500,s1=500)
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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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#
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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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plt.figure()
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plt.imshow(np.hstack((a8,f1)))
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plt.colorbar()
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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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#
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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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plt.figure()
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plt.imshow(np.hstack((a16,f2)))
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plt.colorbar()
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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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#
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plt.show()
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