Image Manipulation with skimage

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

In [21]:
from IPython.html.widgets import interact, interactive, fixed
from IPython.display import display
In [22]:
import skimage
from skimage import data, filter, io
In [23]:
i = data.coffee()
In [24]:
io.Image(i)
Out[24]:
In [25]:
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 [26]:
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)