Application of data mining algorithms in image processing techniques
As information technology advances rapidly, image processing technology is becoming more crucial across different sectors. This paper provides a comprehensive analysis of how data mining algorithms are applied to image feature extraction, classification recognition, segmentation detection and other technologies and their advantages from three aspects: theoretical foundation, key applications and cutting-edge progress. Potential research directions and development strategies are proposed for the current technical bottlenecks and challenges. The findings of the study indicate that data mining algorithms not only enhance the efficiency and precision of image processing but also enable the execution of more intricate image analysis tasks.
Authors
- Xiao Shi (ORCID: https://orcid.org/0000-0002-1594-021X)
Institutions
- Hefei Material Science and Technology Center (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1049/icp.2025.3058
- Primary Topic
- Advanced Scientific Research Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00