Investigation of Grayscale Characterization and Enhanced YOLOv8n for Coal and Gangue Detection
To address the decline in detection accuracy caused by the degradation of grayscale features under environmental interference, a lightweight detection model driven by grayscale characterization, YOLOv8n-CoalGangue, is proposed based on an in-depth analysis of the dynamic variations exhibited by gray...
Gorde:
| Egile Nagusiak: | , , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2026-05-01
|
| Saila: | Machines |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2075-1702/14/6/598 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|