scikit-image
is an image processing Python package that works with
numpy
arrays. The package is imported as skimage
:
>>> import skimage
Most functions of skimage
are found within submodules:
>>> from skimage import data
>>> camera = data.camera()
A list of submodules and functions is found on the API reference webpage.
Within scikit-image, images are represented as NumPy arrays, for example 2-D arrays for grayscale 2-D images
>>> type(camera)
<type 'numpy.ndarray'>
>>> # An image with 512 rows and 512 columns
>>> camera.shape
(512, 512)
The skimage.data
submodule provides a set of functions returning
example images, that can be used to get started quickly on using
scikit-image’s functions:
>>> coins = data.coins()
>>> from skimage import filters
>>> threshold_value = filters.threshold_otsu(coins)
>>> threshold_value
107
Of course, it is also possible to load your own images as NumPy arrays
from image files, using skimage.io.imread()
:
>>> import os
>>> filename = os.path.join(skimage.data_dir, 'moon.png')
>>> from skimage import io
>>> moon = io.imread(filename)