基于ImageJ的卷烟包灰值定量测定方法优化
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(1. 郑州轻工业学院,河南 郑州 450000;2. 贵州中烟工业有限责任公司技术中心,贵州 贵阳 550009)

作者简介:

冯亚婕,女,郑州轻工业学院在读硕士研究生。

通讯作者:

王建民(1963—),男,郑州轻工业学院教授,本科。E-mail:wjm63@163.com

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Optimization of the quantitative determination method of the burning cigarette ash integration based on ImageJ
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(1. Zhengzhou University of Light Industry, Zhengzhou, Henan 450000, China; 2. Technology Center, China Tobacco Guizhou Industiral Co., Ltd., Guiyang, Guizhou 550009, China)

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    摘要:

    为提高基于ImageJ的卷烟包灰值测定方法的准确度和重复性,分别从卷烟燃烧面选择、燃烧灰柱高度及图像选择区域宽度三方面对该方法进行优化研究,形成了如下方案:① 当烟支燃烧至距离接装纸1 cm处时进行拍照;② 采用高度25 mm、宽度6.46 mm的矩形选择框以灰柱底部为起点选择图片区域进行分析;③ 取3支卷烟、3个燃烧面(正对、背对、侧对搭口面)的平均值为一次测量结果。该方案较好控制了卷烟纸搭口、灰柱弯曲、外翻灰片等对测量结果的影响,因而测量结果可以更全面地反映卷烟的裂纹情况,重复性也得到了改善。与改进前相比,4个参试样品重复测量结果的RSD由26.18%~34.52%下降到了15.3%~20.6%。

    Abstract:

    In order to improve the accuracy and repeatability of the integration quantitative determination method based on ImageJ for the ash from the burning cigarette., an optimized scheme was conducted in this study. The scheme was optimized from three aspects, including the selection of cigarette combustion surface, the selected height as well as the width of the burning cigarette columnar ash. The established optimal scheme was as follows: ① Taking pictures of the burning cigarette when it was burned to 1 cm away from the tipping paper. ② Using a height of 25 mm, 6.46 mm width rectangular box to select the bottom of the gray column as a starting point for analysis of the picture area. ③ The final result of the ash integration was taken from the average of three cigarettes and three burning surfaces (the surface, opposite face and the side face of lapped cigarette paper ). This program could weaken the influence of the lapped cigarette paper, the curvature of the ash as well as the outer ash on the repeatability of measurement results. In addition, this optimized method could reflect the true ash integration character more comprehensively. The application of this method indicated that the RSD of the four samples reduced from 26.18% ~ 34.52% to 15.3% ~ 20.6%, suggesting a significant improvement in accuracy and repeatability.

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冯亚婕,王建民,梁淼,等.基于ImageJ的卷烟包灰值定量测定方法优化[J].食品与机械,2018,34(3):216-219.
FENGYajie, WANGJianmin, LIANGMiao, et al. Optimization of the quantitative determination method of the burning cigarette ash integration based on ImageJ[J]. Food & Machinery,2018,34(3):216-219.

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  • 收稿日期:2017-12-06
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  • 在线发布日期: 2023-03-17
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