scikit-image图像处理笔记

        scikit-image内置部分数据集，以及图像处理方法。介绍几个学来感觉有用的函数和方法。
        参考资料：《Python图像处理实战》
        安装方法：pip install scikit-image
        导入方法：

from skimage.io import imread, imsave, imshow, show, imread_collection, imshow_collection
from skimage import color, viewer, exposure, img_as_float, data
from skimage.transform import SimilarityTransform, warp, swirl
from skimage.util import invert, random_noise, montage

使用scikit-image内置的数据集

im = data.astronaut()
imshow(im), show()

一次性同时读取和显示多个图像：

imread_collection? =>
Signature:
imread_collection(
    load_pattern,
    conserve_memory=True,
    plugin=None,
    **plugin_args,
)
Docstring:
Load a collection of images.

Parameters
----------
load_pattern : str or list
    List of objects to load. These are usually filenames, but may
    vary depending on the currently active plugin.  See the docstring
    for ``ImageCollection`` for the default behaviour of this parameter.
conserve_memory : bool, optional
    If True, never keep more than one in memory at a specific
    time.  Otherwise, images will be cached once they are loaded.

Returns
-------
ic : ImageCollection
    Collection of images.

Other Parameters
----------------
plugin_args : keywords
    Passed to the given plugin.
File:      c:\users\zhang\appdata\local\programs\python\python37\lib\site-packages\skimage\io\_io.py
Type:      function

使用方法：

ic = imread_collection(ic = imread_collection(['images/69015.jpg','images/210088.jpg', 'images/cat1.png'])
imshow_collection(ic)
# <Figure size 640x480 with 4 Axes>
show()