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

Application of industrial detection

Image processing technology is widely used in automatic recognition of workpieces in production lines. By processing the part attempts and related information provided by the camera, the variety, state and orientation of the current parts on the assembly line can be judged, and the automatic identification of the parts can be realized. The recognition results are transmitted to the executive mechanism through the computer, such as the robot hand or robot to take corresponding actions, thus realizing the automation of production, assembly and quality inspection.

Application in traffic system

Commonly used in automatic control of road traffic? Electronic eye? Devices are typical examples of image processing applications. The equipment adopts a camera detection system, that is, the vehicles at the intersection are photographed by low-level cameras, and whether there are vehicles passing through when the red light is effective is judged by image processing and analysis. If it is detected, the picture passing through the vehicle is frozen and saved in 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 a classic problem.

About the application of image processing technology, I will share it with you here. I hope this article can help you who are learning image processing methods. If you want to know more about the learning methods and materials of graphic design, you can click on other articles on this site to learn.