烟草科技2016，Vol.49Issue(7)：84-90,7.DOI:10.16135/j.issn1002-0861.20160712
基于计算机视觉技术的梗丝形态表征方法
Morphology characterization of cut stem based on computer vision technology
摘要
Abstract
The 2-Dimensional digital images of cut stems captured by a CCD camera were processed with image analysis software, the uniformity coefficient and characteristic width of cut stems were computed by fitting equation, and the method for morphology characterization of cut stems was developed by combining with the distributing ranges of cut stem width. The results showed that: 1) Fitting the width of 8 cut stem samples with the function representing cut strip width distribution, the determination coefficients (R2) all exceeded 0.98 with residual errors within ± 0.1, it indicated that this function also applied to cut stem width. 2) By the characteristic width and the main width range of cut stem, the morphologies of cut stems were divided into 4 types: filamentous cut stem, its characteristic width y was ≤1.2 mm and the main width range (WR) was 0.6-1.2 mm; flake cut stem, y≥1.8 mm and WR>1.8 mm; filament-like cut stem, 1.2<y<1.8 mm and WR 0.9-1.5 mm; flake-like cut stem, 1.2<y<1.8 mm and WR 1.2-1.8 mm. 3) When the uniformity coefficient was ≥5.5, the samples had better uniformity.关键词
梗丝形态/计算机视觉/特征宽度/均匀性系数Key words
Morphology of cut stem/Computer vision/Characteristic width/Uniformity coefficient分类
轻工业引用本文复制引用
李晓,郑力文,何超,姚二民,丁美宙,王海滨,李全胜..基于计算机视觉技术的梗丝形态表征方法[J].烟草科技,2016,49(7):84-90,7.基金项目
烟草行业烟草加工形态研究重点实验室资助项目“黄金叶中高档烟用梗丝加工技术研究”（ZW2014034）。 （）
