{"title":"Detection of coal gangue based on MSRCR algorithm and improved lightweight YOLOv8n","authors":"Yan Hong, Ruixian Pan, Jingming Su, Rong Pang","doi":"10.1080/19392699.2024.2398522","DOIUrl":null,"url":null,"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...","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/19392699.2024.2398522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
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。