烟草科技Issue(2)：91-95,5.DOI:10.16135/j.issn1002-0861.20150218
基于计算机视觉的片烟形状测量方法
A Computer Vision-based Method for Measuring Shape of Tobacco Strips
徐大勇 1王澍 2张龙 2李新锋 3范明登 3张文 2夏营威 2高震宇 2堵劲松1
作者信息
- 1. 中国烟草总公司郑州烟草研究院 烟草行业烟草工艺重点实验室，郑州高新技术开发区枫杨街2号 450001
- 2. 中国科学院安徽光学精密机械研究所，合肥市蜀山湖路350号 230031
- 3. 龙岩金叶复烤有限责任公司，福建省永定县坎市镇 364102
- 折叠
摘要
Abstract
In order to describe the shape of tobacco strips accurately, a measuring method based on computer vision was proposed. Image segmentation method based on Mean-shift algorithm was used to extract the area, where tobacco strip was present from an image, then the profile of tobacco strip was precisely extracted by a morphological gradient algorithm. The shape of tobacco strip was quantitatively described by Fractal dimension and Fourier descriptors separately. The ability of shape description of Fractal dimension and Fourier descriptors was tested with tobacco strips of different shapes. The results showed that for tobacco strips of different shapes, Fractal dimension and Fourier descriptors took different values and the difference between the two increased with the widening of the discrepancy between shapes in a monotonic way. It was verified that both methods were reliable. By adopting the two methods together, the shape of tobacco strip can be more effectively evaluated.关键词
片烟/计算机视觉/形状测量/图像分割/傅里叶描述子/分形维数Key words
Tobacco strip/Computer vision/Shape measuring/Image segmentation/Fourier descriptor/Fractal dimension分类
信息技术与安全科学引用本文复制引用
徐大勇,王澍,张龙,李新锋,范明登,张文,夏营威,高震宇,堵劲松..基于计算机视觉的片烟形状测量方法[J].烟草科技,2015,(2):91-95,5.
