Python图片处理模块skimage

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安装skimage模块

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pip install scikit-image

方法函数

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>>> import skimage
>>> dir(skimage)
['_INPLACE_MSG', '_STANDARD_MSG', '__SKIMAGE_SETUP__', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__', '__version__', '__warningregistry__', '_raise_build_error', '_shared', '_test', 'data_dir', 'doctest', 'doctest_verbose', 'dtype_limits', 'img_as_bool', 'img_as_float', 'img_as_int', 'img_as_ubyte', 'img_as_uint', 'pkg_dir', 'test', 'test_verbose', 'util']

用法-帮助

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>>> help(skimage)
Help on package skimage:

NAME
    skimage - Image Processing SciKit (Toolbox for SciPy)

DESCRIPTION
    ``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.
    filters
        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.
    segmentation
        Partitioning an image into multiple regions.
    transform
        Geometric and other transforms, e.g., rotation or the Radon transform.
    util
        Generic utilities.
    viewer
        A simple graphical user interface for visualizing results and exploring
        parameters.

    Utility Functions
    -----------------
    img_as_float
        Convert an image to floating point format, with values in [0, 1].
    img_as_uint
        Convert an image to unsigned integer format, with values in [0, 65535].
    img_as_int
        Convert an image to signed integer format, with values in [-32768, 32767].
    img_as_ubyte
        Convert an image to unsigned byte format, with values in [0, 255].

PACKAGE CONTENTS
    _build
    _shared (package)
    color (package)
    data (package)
    draw (package)
    exposure (package)
    external (package)
    feature (package)
    filters (package)
    future (package)
    graph (package)
    io (package)
    measure (package)
    morphology (package)
    novice (package)
    restoration (package)
    run-hessian
    scripts (package)
    segmentation (package)
    setup
    transform (package)
    util (package)
    viewer (package)

FUNCTIONS
    test = _test(doctest=False, verbose=False)
        This would run all unit tests, but nose couldn't be
        imported so the test suite can not run.

DATA
    __SKIMAGE_SETUP__ = False
    __warningregistry__ = {'version': 0, ("the imp module is deprecated in...
    data_dir = r'C:\Python36\lib\site-packages\skimage\data'
    doctest = functools.partial(<function _test at 0x000001912DC78598>, do...
    doctest_verbose = functools.partial(<function _test at 0x000001912DC78...
    pkg_dir = r'C:\Python36\lib\site-packages\skimage'
    test_verbose = functools.partial(<function _test at 0x000001912DC78598...

VERSION
    0.13.1

FILE
    c:\python36\lib\site-packages\skimage\__init__.py

示例

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#求图片均值
imgs = skimage.io.imread(file_name)
ttt = np.mean(imgs)