Applications of artificial intelligence and machine learning in image processing
Introduction With the rapid development of artificial intelligence and machine learning technology, image processing technology based on artificial intelligence and machine learning has been applied in various fields, which effectively solves the multi-classification problem of similar targets in traditional image processing technology. Methods This paper summarizes the various algorithms of artificial intelligence and machine learning in image processing, the development process of neural network model, the principle of model and the advantages and disadvantages of different algorithms, and introduces the specific application of image processing technology based on these algorithms in different scientific research fields. Results And Discussion The application of artificial intelligence and machine learning in image processing is summarized and prospected, in order to provide some reference for researchers who used artificial intelligence and machine learning for image processing in different fields.
Authors
- Jin‐Yuan Wang (ORCID: https://orcid.org/0000-0001-5745-4554)
- Xiangbing Gong (ORCID: https://orcid.org/0000-0002-3745-6971)
- Yu Jiang (ORCID: https://orcid.org/0000-0002-6949-4876)
- Puti Xu (ORCID: https://orcid.org/0009-0001-4066-8537)
Institutions
- Shanghai Construction Group (China) (CN)
- Changsha University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Materials
- Published
- 2024-10-14
- DOI
- https://doi.org/10.3389/fmats.2024.1431179
- Citations
- 5
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.25