<commit_before>"""Image Processing SciKit (Toolbox for SciPy)

``scikit-image`` (a.k.a. ``skimage``) is a collection of algorithms for image
processing and computer vision.

The main package of ``skimage`` only provides a few utilities for converting
between image data types; for most features, you need to import one of the
following subpackages:

Subpackages
-----------
color
    Color space conversion.
data
    Test images and example data.
draw
    Drawing primitives (lines, text, etc.) that operate on NumPy arrays.
exposure
    Image intensity adjustment (e.g., histogram equalization).
feature
    Feature detection and extraction (e.g., texture analysis, corners, etc.).
filter
    Sharpening, edge finding, rank filters, thresholding, etc.
graph
    Graph-theoretic operations, e.g., dynamic programming (shortest paths).
io
    Reading, saving, and displaying images and video.
measure
    Measurement of image properties, e.g., similarity and contours.
morphology
    Morphological operations, e.g., opening or skeletonization.
novice
    Simplified interface for teaching purposes.
restoration
    Restoration algorithms, e.g., deconvolution algorithms, denoising, etc.<commit_msg>Homogenize subpackage description<commit_after>"""Image Processing SciKit (Toolbox for SciPy)

``scikit-image`` (a.k.a. ``skimage``) is a collection of algorithms for image
processing and computer vision.

The main package of ``skimage`` only provides a few utilities for converting
between image data types; for most features, you need to import one of the
following subpackages:

Subpackages
-----------
color
    Color space conversion.
data
    Test images and example data.
draw
    Drawing primitives (lines, text, etc.) that operate on NumPy arrays.
exposure
    Image intensity adjustment, e.g., histogram equalization, etc.
feature
    Feature detection and extraction, e.g., texture analysis corners, etc.
filter
    Sharpening, edge finding, rank filters, thresholding, etc.
graph
    Graph-theoretic operations, e.g., shortest paths.
io
    Reading, saving, and displaying images and video.
measure
    Measurement of image properties, e.g., similarity and contours.
morphology
    Morphological operations, e.g., opening or skeletonization.
novice
    Simplified interface for teaching purposes.
restoration
    Restoration algorithms, e.g., deconvolution algorithms, denoising, etc.
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