Therefore, we use the python language here for digital image processing.
To use python, you must first install python, usually version 2.7 or above. Whether it is a windows system or a linux system, the installation is very simple.
#To use python for various development, you must install the corresponding library. (Recommended learning: Python video tutorial)
This is very similar to matlab, except that it is called a toolbox in matlab, and it is called a library or package in python. To install these libraries, you usually use pip to install them.
To use python for digital image processing, you must also install the Pillow package. Although python comes with a PIL (python images library), this library has stopped being updated, so Pillow is used, which is developed from PIL.
Opening and displaying images
from PIL import Image img=Image.open('d:/dog.png') img.show()
Although Pillow is used, it is forked from PIL, so it still needs to be imported from PIL . Use the open() function to open the image and the show() function to display the image.
This method of displaying images is to call the image browser that comes with the operating system to open the image. Sometimes this method is not convenient, so we can also use another method. , and let the program draw the picture.
from PIL import Image import matplotlib.pyplot as plt img=Image.open('d:/dog.png') plt.figure("dog") plt.imshow(img) plt.show()
Although this method is a bit more complicated, it is recommended. It uses a matplotlib library to draw pictures for display. matplotlib is a professional drawing library, equivalent to plot in matlab. You can set multiple figures, set the title of the figure, and even use subplot to display multiple pictures in one figure.
For more Python related technical articles, please visit the Python Tutorial column to learn!
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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