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The editor will share with you what the main research contents of computer vision are. I hope you will get something after reading this article. Let's discuss it together.

The main research content of computer vision is to use cameras and computers to replace machine vision such as recognition, tracking and measurement of targets by human eyes, and to further do graphics processing to make computer processing more suitable for human eyes to observe or transmit to instruments for detection.

Computer vision is a science that studies how to make machines "see". Further, it refers to the use of cameras and computers instead of human eyes for machine vision such as recognition, tracking and measurement of targets, and further graphics processing to make computer processing more suitable for human eyes to observe or transmit to instruments for detection.

As a scientific discipline, computer vision studies related theories and technologies, trying to establish artificial intelligence systems that can obtain 'information' from images or multi-dimensional data. The information referred to here refers to information defined by Shannon that can be used to help make a "decision".

Because perception can be seen as extracting information from sensory signals, computer vision can also be seen as the science of how to make artificial systems "perceive" from images or multidimensional data.

Computer vision is a kind of simulation of biological vision using computers and related equipment. Its main task is to process the collected pictures or videos to obtain the three-dimensional information of the corresponding scene, just as human beings and many other creatures do every day.

There are many disciplines whose research objectives are similar to or related to computer vision. These disciplines include image processing, pattern recognition or image recognition, scene analysis, image understanding and so on. Computer vision includes image processing and pattern recognition, in addition, it also includes spatial shape description, geometric modeling and cognitive process. Realizing image understanding is the ultimate goal of computer vision.

1. Image processing

Image processing technology converts the input image into another image with the desired characteristics. For example, the output image can have a higher signal-to-noise ratio by processing, or the details of the image can be highlighted by enhancement processing to facilitate operator inspection. In the research of computer vision, image processing technology is often used for preprocessing and feature extraction.

2. Pattern recognition

Pattern recognition technology divides images into predetermined categories according to the statistical characteristics or structural information extracted from the image. For example, text recognition or fingerprint recognition. In computer vision, pattern recognition technology is often used to recognize and classify some parts of the image, such as segmented regions.

3. Image understanding

Given an image, the image understanding program not only describes the image itself, but also describes and interprets the scene represented by the image in order to make a decision on what the image represents. The term scene analysis is often used in the early days of artificial intelligence vision research to emphasize the difference between two-dimensional images and three-dimensional scenes. In addition to complex image processing, image understanding also requires knowledge about the physical laws of scene imaging and knowledge related to the content of the scene.

The relevant technologies of the above disciplines need to be used in the establishment of computer vision system, but the content of computer vision research is more extensive than these disciplines. The research of computer vision is closely related to that of human vision. In order to achieve the goal of establishing a general computer vision system similar to human vision system, it is necessary to establish the computer theory of human vision.

After reading this article, I believe you have a certain understanding of "what are the main research contents of computer vision". If you want to know more about it, you are welcome to follow the industry information channel. Thank you for reading!

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