|
| Research on the Application of Image Recognition Technology Based on Deep Learning in Mineral Processing |
|
Received:September 08, 2023
Revised:September 13, 2023
Accepted:September 18, 2023
Published Online:March 24, 2025
|
| View Full Text View/Add Comment Download reader |
| DOI： |
| KeyWord:image recognition;Deep Learning;mineral processing |
| Author | Institution |
| huyaqi |
XI''AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY |
| kongjing |
XI''AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY |
| liyuhneng |
XI''AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY |
| chentianxing |
XI''AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY |
|
| Hits: 623 |
| Download times: 221 |
| Abstract: |
| Based on China's strategic deployment of "Smart Mine", the future development and utilization of mineral resources to achieve mechanization, automation, informatization and intelligence has become an inevitable trend in the development of the industry. In recent years, with the rapid development of computer image processing technology, machine vision is widely used in industry. Image recognition technology based on deep learning will also become an important tool for intelligent beneficiation plants. This paper briefly describes the main techniques and methods of image recognition, introduces the current research status of image recognition technology in gravity concentration, magnetic separation and flotation, and gives an outlook on the application of image recognition technology in mineral processing, in order to provide a reference for relevant research scholars. |
| Close |
|
|
|