EconPapers    
Economics at your fingertips  
 

Research on Application of Big Data Mining and Analysis in Image Processing

Jialu Yan

Pinnacle Academic Press Proceedings Series, 2025, vol. 2, 130-136

Abstract: Through the mining and analysis of big data, big data technology has demonstrated excellent efficiency and intelligent capabilities in image processing. This article explores the application of big data in the field of graphics, elaborates on the basic concepts and key technologies of data mining and analysis, and explains its operational processes in graphic feature screening, classification, search, and other aspects. Analyzed the application path of big data in visual presentation, quality assessment, content parsing, and semantic extraction of graphics. Research has found that big data technology is effective in addressing the challenges of diversity and large-scale data in image processing, providing new solutions in multiple industries such as smart city construction, medical image diagnosis, and security monitoring.

Keywords: big data mining; big data analysis; image processing; feature extraction; image classification (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://pinnaclepubs.com/index.php/PAPPS/article/view/137/139 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dba:pappsa:v:2:y:2025:i::p:130-136

Access Statistics for this article

More articles in Pinnacle Academic Press Proceedings Series from Pinnacle Academic Press
Bibliographic data for series maintained by Joseph Clark ().

 
Page updated 2025-09-27
Handle: RePEc:dba:pappsa:v:2:y:2025:i::p:130-136