In [1]:

    

%matplotlib inline
import numpy as np
import skimage.data as kdata
import skimage.io as kio


    

In [2]:

    

kio.available_plugins


    

    
Out[2]:





{'fits': ['imread', 'imread_collection'],
 'freeimage': ['imread', 'imsave', 'imread_collection'],
 'gdal': ['imread', 'imread_collection'],
 'gtk': ['imshow'],
 'imageio': ['imread', 'imsave', 'imread_collection'],
 'imread': ['imread', 'imsave', 'imread_collection'],
 'matplotlib': ['imshow', 'imread', 'imshow_collection', 'imread_collection'],
 'pil': ['imread', 'imsave', 'imread_collection'],
 'qt': ['imshow', 'imsave', 'imread', 'imread_collection'],
 'simpleitk': ['imread', 'imsave', 'imread_collection'],
 'test': ['imsave',
  'imshow',
  'imread',
  'imread_collection',
  'imshow_collection'],
 'tifffile': ['imread', 'imsave', 'imread_collection']}

In [3]:

    

f = kdata.camera()


    

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kio.use_plugin('matplotlib', 'imshow')


    

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f


    

    
Out[5]:





array([[156, 157, 160, ..., 152, 152, 152],
       [156, 157, 159, ..., 152, 152, 152],
       [158, 157, 156, ..., 152, 152, 152],
       ..., 
       [121, 123, 126, ..., 121, 113, 111],
       [121, 123, 126, ..., 121, 113, 111],
       [121, 123, 126, ..., 121, 113, 111]], dtype=uint8)

In [6]:

    

def iaimginfo(f):
    t = type(f)
    if t != np.ndarray:
        return 'Not a ndarray. It is %s' % (t,)
    else:
        dt = f.dtype
        if dt == 'bool':
            return '%s %s %s %s %s' % (t, np.shape(f), f.dtype, f.min(), f.max())
        elif dt == 'uint8':
            return '%s %s %s %d %d' % (t, np.shape(f), f.dtype, f.min(), f.max())
        else:
            return '%s %s %s %f %f' % (t, np.shape(f), f.dtype, f.min(), f.max())


    

In [7]:

    

iaimginfo(f)


    

    
Out[7]:





"<type 'numpy.ndarray'> (512, 512) uint8 0 255"

In [8]:

    

kio.imshow(f)


    

    
Out[8]:





<matplotlib.image.AxesImage at 0x7f5e6e59e0d0>






    

In [ ]:

    

f1 = f//2
print 'f1:',iaimginfo(f1)
#kio.imshow(f1)
f2 = 128+f1
print 'f2:',iaimginfo([f1,f2])
kio.imshow(f2)


    

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g = f * 1.0


    

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iaimginfo(g)


    

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kio.imshow(g)


    

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