Image Manipulation with skimage

This example builds a simple UI for performing basic image manipulation with scikit-image.



In [1]:

    
from IPython.html.widgets import interact, interactive, fixed
from IPython.display import display









    



:0: FutureWarning: IPython widgets are experimental and may change in the future.



In [2]:

    
import skimage
from skimage import data, filter, io









    



/Users/tylere/anaconda/envs/ee-python/lib/python2.7/site-packages/skimage/filter/__init__.py:6: skimage_deprecation: The `skimage.filter` module has been renamed to `skimage.filters`.  This placeholder module will be removed in v0.13.
  warn(skimage_deprecation('The `skimage.filter` module has been renamed '



In [3]:

    
i = data.coffee()



In [4]:

    
io.Image(i)









    Out[4]:



In [5]:

    
def edit_image(image, sigma=0.1, r=1.0, g=1.0, b=1.0):
    new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)
    new_image[:,:,0] = r*new_image[:,:,0]
    new_image[:,:,1] = g*new_image[:,:,1]
    new_image[:,:,2] = b*new_image[:,:,2]
    new_image = io.Image(new_image)
    display(new_image)
    return new_image



In [6]:

    
lims = (0.0,1.0,0.01)
w = interactive(edit_image, image=fixed(i), sigma=(0.0,10.0,0.1), r=lims, g=lims, b=lims)
display(w)









    



/Users/tylere/anaconda/envs/ee-python/lib/python2.7/site-packages/skimage/util/dtype.py:111: UserWarning: Possible precision loss when converting from float64 to uint8
  "%s to %s" % (dtypeobj_in, dtypeobj))



In [7]:

    
w.result









    Out[7]:

Python 3 only: Function annotations

In Python 3, you can use the new function annotation syntax to describe widgets for interact:



In [8]:

    
lims = (0.0,1.0,0.01)

@interact
def edit_image(image: fixed(i), sigma:(0.0,10.0,0.1)=0.1, r:lims=1.0, g:lims=1.0, b:lims=1.0):
    new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)
    new_image[:,:,0] = r*new_image[:,:,0]
    new_image[:,:,1] = g*new_image[:,:,1]
    new_image[:,:,2] = b*new_image[:,:,2]
    new_image = io.Image(new_image)
    display(new_image)
    return new_image









    



  File "<ipython-input-8-164ec43e69ef>", line 4
    def edit_image(image: fixed(i), sigma:(0.0,10.0,0.1)=0.1, r:lims=1.0, g:lims=1.0, b:lims=1.0):
                        ^
SyntaxError: invalid syntax