In [23]:

    

%matplotlib inline

import matplotlib.pyplot as plt
#http://nbviewer.ipython.org/github/ipython/ipython/blob/1.x/examples/notebooks/Part%203%20-%20Plotting%20with%20Matplotlib.ipynb

from IPython.display import Image, display


    

In [1]:

    

from scipy import misc



##### Options for importing images #####
### 1) Pil (and Pillow): it is possible to load image and convert to numpy array
#http://effbot.org/zone/pil-changes-116.htm\
### 2) from skimage import io
#http://scipy-lectures.github.io/packages/scikit-image/
#skimage.io.imread(fname, as_grey=False, plugin=None, flatten=None, **plugin_args)
# img_array : ndarray
# The different colour bands/channels are stored in the third dimension, such that a grey-image is MxN, an RGB-image MxNx3 and an RGBA-image MxNx4.
### 3) from scipy import misc


    

In [3]:

    

lena = misc.imread('../example_files/lena.png')
type(lena)
#<type 'numpy.ndarray'>
# lena.shape, lena.dtype
#((512, 512), dtype('uint8'))
#dtype is uint8 for 8-bit images (0-255)


    

    
Out[3]:





numpy.ndarray

In [4]:

    

lena


    

    
Out[4]:





array([[159, 159, 159, ..., 168, 151, 119],
       [159, 159, 159, ..., 168, 151, 119],
       [159, 159, 159, ..., 168, 151, 119],
       ..., 
       [ 21,  21,  29, ...,  92,  87,  85],
       [ 22,  22,  35, ...,  92,  93,  96],
       [ 22,  22,  35, ...,  92,  93,  96]], dtype=uint8)

In [11]:

    

#https://docs.scipy.org/doc/scipy-0.14.1/reference/generated/scipy.misc.imread.html
google = misc.imread('../example_files/google_logo.png')
google_flatten = misc.imread('../example_files/google_logo.png', flatten=True)


    

In [9]:

    

print google.shape
print google.dtype


    

    




(190, 538, 4)
uint8

In [14]:

    

#google
# png: RGBA: alpha channel (transparancy) + RGB
# all/most pictures are 8 or 16-bit image. That is why we get int8 or?


    

In [20]:

    

print google_flatten.shape
print google_flatten.dtype
google_flatten


    

    




(190, 538)
float32






    
Out[20]:





array([[ 255.,  255.,  255., ...,  255.,  255.,  255.],
       [ 255.,  255.,  255., ...,  255.,  255.,  255.],
       [ 255.,    0.,    0., ...,    0.,    0.,    0.],
       ..., 
       [ 255.,    0.,    0., ...,    0.,    0.,    0.],
       [ 255.,  255.,  255., ...,  255.,  255.,  255.],
       [ 255.,  255.,  255., ...,  255.,  255.,  255.]], dtype=float32)

In [29]:

    

plt.imshow(google) # cannot specify interpret colormap cmap=plt.get_cmap("Greys")
plt.show()


    

In [26]:

    

### Show flatten image
plt.imshow(google_flatten, cmap=plt.get_cmap("Greys"))
plt.show()


    

In [19]:

    

from IPython.display import Image, display
display(google_flatten)


    

    






array([[ 255.,  255.,  255., ...,  255.,  255.,  255.],
       [ 255.,  255.,  255., ...,  255.,  255.,  255.],
       [ 255.,    0.,    0., ...,    0.,    0.,    0.],
       ..., 
       [ 255.,    0.,    0., ...,    0.,    0.,    0.],
       [ 255.,  255.,  255., ...,  255.,  255.,  255.],
       [ 255.,  255.,  255., ...,  255.,  255.,  255.]], dtype=float32)

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