A computer vision-based method for measuring shape of tobacco strips

被引：0

作者：

Xu, Dayong ^{[1
]}

Wang, Shu ^{[2
]}

Zhang, Long ^{[2
]}

Li, Xinfeng ^{[3
]}

Fan, Mingdeng ^{[3
]}

Zhang, Wen ^{[2
]}

Xia, Yingwei ^{[2
]}

Gao, Zhenyu ^{[2
]}

Du, Jinsong ^{[1
]}

机构：

[1] Key Laboratory of Tobacco Processing Technology of CNTC,, Zhengzhou Tobacco Research Institute of CNTC,, Zhengzhou

[2] Anhui Institute of Optics and Fine Mechanism of CAS,, Hefei

[3] Longyan Golden Leaf Redrying Co.., Ltd.,, Yongding, 364102,, Fujian

来源：

Tobacco Science and Technology | 2015年 / 48卷 / 02期

关键词：

Computer vision; Fourier descriptor; Fractal dimension; Image segmentation; Shape measuring; Tobacco strip;

D O I：

10.16135/j.issn1002-0861.20150218

中图分类号：

学科分类号：

摘要：

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. ©, 2015, Editorial Office of Tobacco Science and Technology. All right reserved.

引用

页码：91 / 95

页数：4