One, the required installation package
Because Scikit-image is based on scipy, installing NumPy and scipy is sure. To display the picture, you also need to install the Matplotlib package, combined, the required packages are:
1 Python >= 2.62 Numpy >= 1.6.13 cython >= 0.214 Six >=1.45 SciPy >=0.96 matplotlib >= 1.1.07 networkx >= 1.88 Pillow >= 1.7.89 Dask[array ] >= 0.5.0
Comparison, installation is very cumbersome, especially scipy, on Windows Basic installation is not on.
But don't be afraid, we choose an integrated installation environment on the line, it is recommended Anaconda, it put the above required packages are integrated together, so we actually only need to install Anaconda software on the line, and nothing else to pretend.
Second, download and install Anaconda
First to https://www.continuum.io/downloads download Anaconda, now the version has python2.7 version and python3.5 version, download the corresponding version, the corresponding system anaconda, It is actually a sh script file, about 280M or so.
This series takes windows7+python3.5 as an example, so we download the version in the Red box:
Name is: Anaconda3-2.4.1-windows-x86_64.exe
is an executable exe file, the download is complete, the direct double-click can be installed.
At the time of installation, suppose we install the D packing directory, such as:
and select all two options to write the installation path to the environment variable.
Then wait for the installation to complete.
When the installation is complete, open a command prompt for Windows:
Input Conda list can query now which libraries are installed, commonly used NumPy, scipy is listed among them. If you still have what package is not installed on, you can run
Conda Install * * * for installation. (* * * for the name of the package required)
If a package version is not up-to-date, you can update it by running Conda update.
Three, simple test
Anaconda comes with an editor Spyder that we can use later to write code.
Spyder.exe placed in the installation directory Scripts inside, as mine is D:/anaconda3/scripts/spyder.exe, directly double-click to run. We can right-click to send to the desktop shortcut, it is more convenient to run later.
We simply write a program to test the success of the installation, which is used to open a picture and display it. First prepare a picture, then open the Spyder, and write the following code:
1 Import io 2 img=io.imread (' d:/dog.jpg ')3 io.imshow (IMG)
Change the d:/dog.jpg to your picture location
Then click on the green triangle in the toolbar above to run, and finally show
If the "Ipython console" in the lower right corner shows a picture, the installation of our operating environment is successful.
We can select "Variable Explorer" in the upper right corner to view picture information, such as
We can save this program, note that the Python script file has a suffix called py.
Iv. Sub-modules of the Skimage package
The full name of the
Skimage package is scikit-image scikit (Toolkit for SciPy), which expands the scipy.ndimage and provides more image processing capabilities. It was written by the Python language and developed and maintained by the SCIPY community. The Skimage package consists of many sub-modules, each of which provides different functions. The main sub-modules are listed as follows:
submodule name |
Main implementation features |
io |
read, save, and display pictures or videos |
data |
provide some test pictures and sample data |
color |
color space transform |
filters |
image enhancements, edge detection, sorting filters, auto thresholds, etc. |
Draw |
operates on basic drawing on the NumPy array, including lines, rectangles, circles, and text, such as |
transform |
geometric transformations or other transformations, such as rotation, extrude, and radon transformations. /td> |
morphology |
morphological operations, such as opening and closing operations, skeleton extraction, etc. |
exposure |
picture strength adjustment , such as brightness adjustment, histogram equalization, and so on |
feature |
feature detection and extraction |
measure |
Image Properties Measurements such as similarities or contours |
Segmentation |
Image Segmentation |
restoration |
figure Like restore |
util |
general functions |
When you use some manipulation functions for image processing, you need to import the corresponding submodule, and if you need to import more than one submodule, separate them with commas, such as
1 Import Io,data,color
The above is a detailed tutorial on installing Anaconda and Python on Windows.
0 A tutorial on installing Anaconda and Python on Windows is detailed