Shulou(Shulou.com)06/02 Report--

This article shows you whether Python image processing needs powerful image processing tools, the content is concise and easy to understand, it can definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

There is a lot of knowledge that we need to learn in the process of Python image processing. When it comes to image processing, the tool people usually think of is MATLAB.

Admittedly, MATLAB provides a powerful image processing toolbox. However, for simple image processing tasks, using a high-level language will get twice the result with half the effort. There is no doubt that Python image processing is an ideal choice to achieve this function. The object-oriented and weak data types of Python image processing make it very simple and convenient to use it for simple image processing.

PythonWare provides a free image processing toolkit PIL (Python Image Library), which provides basic image processing functions, such as: changing image size, rotating image, image format conversion, color field space conversion, image enhancement, histogram processing, interpolation and filtering, etc. Although it is not suitable to implement complex image processing algorithms similar to those in MATLAB in this software package, the rapid development ability and object-oriented features of Python image processing make it very suitable 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, so to load an image, the simplest form is as follows:

Import Image img = Image.open ("dip.jpg")

Note: the Image in the * 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. With regard to the Image module and the Image class, don't be confused. Now we can perform various operations on img, and all operations on img will eventually be reflected in the dip.img image.

PIL provides a wealth of functional modules: Image,ImageDraw,ImageEnhance,ImageFile and so on. The three most commonly used modules are Image,ImageDraw,ImageEnhance. Next, I would like to introduce this separately. See the documentation for the use of other modules. Information on the PIL package and related documentation is available at PythonWare's site www.pythonware.com.

Image module:

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

Open an image file:

Import Image img = Image.open ("dip.jpg") the above content is whether Python image processing needs powerful image processing tools, have you learned the knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.