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