Digital media image automatic recognition system based on mean clustering algorithm

Yali Wu

doi:10.1117/12.2669826

24 February 2023 Digital media image automatic recognition system based on mean clustering algorithm

Yali Wu

Proceedings Volume 12590, Third International Conference on Computer Vision and Information Technology (CVIT 2022); 1259005 (2023) https://doi.org/10.1117/12.2669826
Event: 2022 3rd International Conference on Computer Vision and Information Technology (CVIT 2022), 2022, Beijing, China

Abstract

In recent years, with the popularity of the Internet, digital media has become an indispensable part of people's life. Image acquisition equipment is widely used in daily life and work. However, due to technical problems, it can not meet the performance requirements of users. At the same time, a large number of data and information are difficult to be effectively processed, which also reduces the image quality, reduces the storage space and increases the image distortion. Therefore, it is necessary to develop new algorithms to improve these defects. Therefore, this paper designs and develops an automatic digital media image recognition system based on mean clustering algorithm. Firstly, this paper describes the concept and characteristics of digital media. Then, this paper also studies the application of mean clustering algorithm. Based on this, an automatic digital media image recognition system is designed, and the performance of the system is tested by simulation. Finally, the test results show that the algorithm can accurately identify media images. In general, the performance of the digital media image automatic recognition system based on mean clustering algorithm can meet the needs of target users.

Citation Download Citation

Yali Wu "Digital media image automatic recognition system based on mean clustering algorithm", Proc. SPIE 12590, Third International Conference on Computer Vision and Information Technology (CVIT 2022), 1259005 (24 February 2023); https://doi.org/10.1117/12.2669826

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KEYWORDS

Detection and tracking algorithms

Image processing

Digital imaging

Digital image processing

Algorithm development

Computing systems

Image acquisition

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