| 注册
首页|期刊导航|烟草科技|多模态融合的烟叶二分类清选模型的构建与应用

多模态融合的烟叶二分类清选模型的构建与应用

齐海涛 张艳 范明登 张殿兴 李玉珩

烟草科技2025,Vol.58Issue(7):69-78,10.
烟草科技2025,Vol.58Issue(7):69-78,10.DOI:10.16135/j.issn1002-0861.2025.0118

多模态融合的烟叶二分类清选模型的构建与应用

Construction and application of multimodal fusion model for sorting tobacco leaves based on binary-classification

齐海涛 1张艳 1范明登 2张殿兴 1李玉珩1

作者信息

  • 1. 秦皇岛烟草机械有限责任公司,河北省秦皇岛市经济技术开发区龙海道67号 066000
  • 2. 福建省龙岩金叶复烤有限责任公司,福建省龙岩市永定区福三北路305-1号 364102
  • 折叠

摘要

Abstract

To promote the industrial classification of raw tobacco and to realize automation production and intelligent sorting of tobacco leaves,a binary-classification sorting approach for industrial classification of tobacco leaves was studied.Directed at the folded and wrinkled leaf morphologies,multimodal fusion of multi-angle imaging(reflected light,transmitted light,and localized reflected imaging)and origin information was performed.The binary-classification sorting model was applied to an automatic production line for industrial classification of raw tobacco,and comparison of the proposed model with different models and production verification were conducted.The results showed that:1)The tobacco leaf algorithm model based on the multimodal fusion distinctively outperformed single-feature models and general convolutional neural network(CNN)models based on three evaluation metrics:sorting accuracy,precision,and recall rate.2)Under the experimental conditions of this study,the grade qualification rate of the sorted tobacco leaves exceeded 85.2%with a relative standard deviation(RSD)of 1.4%,indicating high accuracy and stability that could meet the sorting requirements of production.3)A comparative analysis between the machine sorting and manual sorting revealed that the efficiency of the machine sorting was 50 times as much as that of manual sorting,and the grade qualification rate was 7 percentage points higher than manual sorting.Additionally,the machine sorting could effectively eliminate the impact of environmental factors and human fatigue in manual sorting.The multimodal fusion model for binary-classification sorting of tobacco leaves established in this study therefore demonstrates satisfactory practical value for industrial application.

关键词

烟叶二分类清选/多模态融合/等级符合率

Key words

Binary-classification sorting of tobacco leaves/Multimodal fusion/Grade qualification rate

分类

轻工纺织

引用本文复制引用

齐海涛,张艳,范明登,张殿兴,李玉珩..多模态融合的烟叶二分类清选模型的构建与应用[J].烟草科技,2025,58(7):69-78,10.

基金项目

中国烟草机械集团有限责任公司重点科技项目"原烟工业智能分级选叶原理机研发"(Y19008). (Y19008)

烟草科技

OA北大核心

1002-0861

访问量0
|
下载量0
段落导航相关论文