Where are the image processing technologies widely used?

Application in sorting agricultural products

With the rapid development of factory farming, it is also an important application to monitor crop growth by using machine vision technology to realize scientific watering and fertilization. Such as fruit, according to characteristic parameters such as color, shape and size; Eggs, according to the external characteristics such as color, weight, shape and size; Tobacco leaves are comprehensively graded according to their color, shape, texture and area.

Application in industrial inspection

Image processing technology is widely used in automatic identification of workpieces in production and assembly lines. The automatic identification of the workpiece is realized by processing the part attempt and related information provided by the camera, and judging the variety, state and orientation of the current part on the assembly line. The recognition result is transmitted to the executive mechanism by computer, such as robot hand or robot to take corresponding actions, thus realizing the automation of production, assembly and quality inspection process.

Application in traffic system

Commonly used in automatic control of road traffic? Electronic eye? Device is a typical example of image processing application. The equipment adopts a camera detection system, that is, the vehicles at the intersection are photographed by a low-level camera, and the method of image processing and analysis is used to judge whether there is a vehicle passing when the red light is effective. If it is detected, the picture of the passing vehicle is frozen and saved to a JPEG lossy compression storage format file.

Application in medicine

Medical image segmentation technology is widely used in the medical field. Image segmentation refers to the decomposition of an image into a set of non-overlapping regions, which is one of the basic problems of image processing and machine vision. Medical image segmentation is an important application field of image segmentation, and it is also a classic problem.

This is the end of the application of image processing technology. I hope this article can help you who are learning image processing methods. If you want to learn more about the learning methods and materials of graphic design, you can click on other articles on this site to learn.