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emmanuelle
2014-12-06 11:00:59 +01:00
parent eae2196dd2
commit c0bedcf3ef
1 changed files with 11 additions and 20 deletions
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doc/source/user_guide/transforming_image_data.txt
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@@ -17,7 +17,7 @@ Color images can be represented using different `color spaces
<http://en.wikipedia.org/wiki/Color_space>`_. One of the most common
color spaces is the `RGB space
<http://en.wikipedia.org/wiki/RGB_color_model>`_, where an image has
red, blue and green channels. However, other color models are widely
red, green and blue channels. However, other color models are widely
used, such as the `HSV color model
<http://en.wikipedia.org/wiki/HSL_and_HSV>`_ (for hue, saturation and
value), where hue can be changed independently of saturation or value, or
@@ -54,8 +54,8 @@ Converting an RGB image to a grayscale image is realized with
>>> img = data.astronaut()
>>> img_gray = rgb2gray(img)
:func:`rgb2gray` uses a non-uniform weigthing of color channels, because of the
different sensivity of the human eye to different colors. ::
:func:`rgb2gray` uses a non-uniform weighting of color channels, because of the
different sensitivity of the human eye to different colors. ::
>>> red_pixel = np.array([[[255, 0, 0]]], dtype=np.uint8)
>>> color.rgb2gray(red_pixel)
@@ -95,14 +95,15 @@ Contrast and exposure
.. currentmodule:: skimage.exposure
Image values can take values determined by the `dtype` of the image (see
:ref:`data_types`), such as 0 to 255 for `uint8` images or [-1, 1] for
floating point images. However, most images either have a narrower range
of values (because of poor contrast), or have most pixel values
concentrated in a subrange. :mod:`skimage.exposure` provides functions
that modify the distribution of pixels values of an image.
Image pixels can take values determined by the ``dtype`` of the image
(see :ref:`data_types`), such as 0 to 255 for ``uint8`` images or [-1, 1]
for floating-point images. However, most images either have a narrower
range of values (because of poor contrast), or have most pixel values
concentrated in a subrange of the accessible values.
:mod:`skimage.exposure` provides functions that modify the distribution
of pixels values of an image.
A first class of methods compute a nonlinear function of the luminance,
A first class of methods compute a nonlinear function of the intensity,
which is always the same no matter the pixel values of a specific image.
Such methods are often used for correcting a known non-linearity of
sensors, or receptors such as the human eye. A known example is the
@@ -167,13 +168,3 @@ gradients across the image. See the example
* :ref:`example_plot_equalize.py`
Image filtering
---------------
.. currentmodule:: skimage.filters
Denoising and restoration
-------------------------
Mathematical morphology
-----------------------