Detection of coal gangue based on MSRCR algorithm and improved lightweight YOLOv8n

IF 2 4区工程技术 Q4 ENERGY & FUELS

International Journal of Coal Preparation and Utilization Pub Date : 2024-09-01 DOI:10.1080/19392699.2024.2398522

Yan Hong, Ruixian Pan, Jingming Su, Rong Pang

引用次数: 0

Abstract

Traditional methods for coal gangue sorting exhibit low efficiency, significant safety hazards, and limited applicability. Existing machine vision-based coal gangue image recognition methods strugg...

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基于 MSRCR 算法和改进型轻量级 YOLOv8n 的煤矸石探测

传统的煤矸石分拣方法效率低、安全隐患大且适用性有限。现有的基于机器视觉的煤矸石图像识别方法难以满足煤矸石分拣的需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Coal Preparation and Utilization 工程技术-矿业与矿物加工

CiteScore

4.10

自引率

23.80%

发文量

106

审稿时长

6 months

期刊介绍： International Journal of Coal Preparation and Utilization publishes original research papers, short communications, review articles, book reviews, and symposium announcements covering all aspects of coal preparation. The journal is significant reading for all individuals involved with coal preparation, including those in operations, engineering, management, education, and scientific research. Topics include: coal properties and coal petrography; coal quality and characterization; surface chemistry of coal and minerals; crushing, grinding and liberation; coal screening and classification; dense medium and density separations; froth flotation and oil agglomeration; process control and optimization; flocculation and thickening; dewatering and thermal drying; briquetting and pelletizing; coal handling and storage; coal utilization and blending; waste disposal and pollution; utility waste product utilization; and carbon based material. Additional subjects covered by the journal include properties of coal/water and coal/oil slurries as well as the processing of oil shales and tarsands by physical and physiochemical methods.