Python image processing requires powerful image processing tools

Python image processing has a lot of knowledge to learn. When it comes to image processing, people usually think of MATLAB as a tool. Next we will learn the relevant technical information in detail. I hope you will have some gains.

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Indeed, MATLAB provides a powerful toolbox for image processing. However, for simple image processing tasks, using an advanced language will get twice the result with half the effort. Python image processing is undoubtedly an ideal choice for implementing this function. The object-oriented and weak data types of Python image processing make it simple and convenient to use it for simple image processing.

PythonWare provides the Free Image Processing toolkit PIL (Python Image Library), which provides basic Image processing functions, such as changing the Image size, rotating the Image, and converting the Image format, color field space conversion, image enhancement, histogram processing, interpolation and filtering, etc. Although this software package is not suitable for implementing complex image processing algorithms similar to MATLAB, however, the rapid development capability and object-oriented features of Python image processing make it ideal for prototype development.

In PIL, any Image is represented by an Image object, and this class is exported by a module with the same name as it. Therefore, you need to load an Image, the simplest form is as follows:

 
 

  
  
import Image   
  
  
img = Image.open(“dip.jpg”)   
 
 

Note: The Image in the first line is the module name, the img in the second line is an Image object, and the Image class is defined in the Image module. Do not confuse the Image module with the Image class. Now we can perform various operations on the img, and all operations on the img will eventually be reflected on the dip. img image.

PIL provides a wide range of functional modules: Image, ImageDraw, ImageEnhance, and ImageFile. The most common modules are Image, ImageDraw, and ImageEnhance. Next I will introduce this separately. For more information about the use of other modules, see instructions. For the PIL software package and related instructions, see the PythonWare site www.pythonware.com.

Image module:

The Image module is the most basic module of PIL. The Image class is exported, and an Image class instance object corresponds to an Image. The Image module also provides many useful functions.

Open an image file:

 
 

  
  
import Image   
  
  
img = Image.open(“dip.jpg”)   
 
 

The above is a detailed introduction to Python image processing, and I hope to help you.