烟草科技2026，Vol.59Issue(2)：44-55,12.DOI:10.16135/j.issn1002‒0861.2025.0373
基于CT探测成像的烟支中梗签形态识别及参数分析方法
Morphological identification and parameter analysis of tobacco stems in cigarettes based on CT detection and imaging
摘要
Abstract
To address the issues of strong subjectivity,high labor intensity and limited detection methods of morphological identification and parameter analysis of tobacco stems in cigarette rods by traditional manual detection,a method based on computed tomography(CT)detection and imaging technology was proposed and evaluated for this purpose.By employing the filtered back projection method for three-dimensional reconstruction and conducting gray threshold segmentation and connected component data treatments,key stem parameters such as the length,volume and quantity inside cigarette rods were deduced accurately and efficiently.The results showed that:1)CT imaging for Q brand cigarette detection achieved a RSD less than 1.00%with an mean absolute error of 0.15 mm for stem length,while a RSD less than 5.00%for spatial position detection,demonstrating high accuracy and excellent repeatability.2)For P,L and Y brand cigarettes,the accuracy rates for both stem quantity and morphology identification reached near 100%,demonstrating excellent repeatability and consistency.This study provides a novel non-destructive testing technique for morphology identification and parameter analysis of tobacco stems in cigarettes.关键词
梗签/计算机断层扫描(CT)/图像处理/三维重构Key words
Tobacco stem/Computed Tomography(CT)/Image processing/Three-dimensional reconstruction分类
轻工纺织引用本文复制引用
陈士欢,叶超,罗登炎,林志平,许东东,吴晓松,洪伟龄,冯东..基于CT探测成像的烟支中梗签形态识别及参数分析方法[J].烟草科技,2026,59(2):44-55,12.基金项目
中国烟草总公司重点研发项目"梗签形成机制及大工艺协同控制技术研究与应用"(110202202010). （110202202010）
