烟草科技2017，Vol.50Issue(1)：67-73,7.DOI:10.16135/j.issn1002-0861.2016.0304
基于视觉形态特征检测的烟梗切丝质量分析
Analysis of stem cutting quality based on visual morphological feature detection
摘要
Abstract
In order to assess the cutting quality of stem quickly, an analysis method based on visual morphological feature detection was proposed. Morphological analysis method was used to compute the shred content in cut stems (the proportion of shred in cut stems);the length of cut stem was computed by skeleton extraction method and its uniformity was computed by probability density function, the width of cut stem was computed by Hough transform principle and its uniformity by numerical analysis. The proposed method was verified by accuracy, precision and efficiency experiments. The results showed that the measurement accuracy of shred content in cut stems reached 98.73%, the measurement errors of both cut stem length and width were 0.02, which indicated that the measurement was accurate. The variation coefficients of measured shred content in cut stems, length uniformity and width uniformity were 0.6%, 1.0% and 1.5%, respectively;the measurement had good precision. The average time needed for measuring cut stems of 0.01 kg was 11 s with the image processing time less than 2.5 s, which satisfied the requirements for on-line measurement of cut stems of large quantities.关键词
梗丝/计算机视觉/质量分析/结构均匀性/宽度均匀性Key words
Cut stem/Computer vision/Quality analysis/Structural uniformity/Width uniformity分类
轻工纺织引用本文复制引用
张超凡,董浩,刘勇,夏营威,高震宇,张龙,王锦平,周明珠,邢军..基于视觉形态特征检测的烟梗切丝质量分析[J].烟草科技,2017,50(1):67-73,7.基金项目
国家烟草质量监督检验中心科技创新项目“基于计算机视觉的烟丝组分识别方法可行性研究”（522014CA0090）；安徽省重大科学仪器专项“食品和食品级接触材料中亚硝胺检测仪的研制及产业化”（151015223）。 （）
