基于边界跟踪测量麻纤维横截面参数的算法研究与应用

doi:10.13475/j.fzxb.20190204905

纺织学报 ›› 2020, Vol. 41 ›› Issue (02): 39-43.doi: 10.13475/j.fzxb.20190204905

基于边界跟踪测量麻纤维横截面参数的算法研究与应用

张铮烨¹, 辛斌杰²(), 邓娜¹, 陈阳¹, 邢文宇¹

1.上海工程技术大学电子电气工程学院, 上海 201620
2.上海工程技术大学服装学院, 上海 201620

收稿日期:2019-02-27 修回日期:2019-11-15 出版日期:2020-02-15 发布日期:2020-02-21
通讯作者: 辛斌杰
作者简介:张铮烨(1995—),男,硕士生。主要研究方向为纤维图像识别。
基金资助:
上海市自然科学基金资助项目(18ZR1416600)

Research and application of algorithm for measuring hemp fiber cross-sectional parameters based on boundary tracking

ZHANG Zhengye¹, XIN Binjie²(), DENG Na¹, CHEN Yang¹, XING Wenyu¹

1. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science,Shanghai 201620, China
2. Fashion College, Shanghai University of Engineering Science, Shanghai 201620, China

Received:2019-02-27 Revised:2019-11-15 Online:2020-02-15 Published:2020-02-21
Contact: XIN Binjie

摘要/Abstract

摘要：

针对在同一纤维横截面图像中难以同时测量多根纤维参数的问题,提出了一种基于边界跟踪测量麻纤维横截面参数的算法。首先利用边缘提取算法提取麻纤维的边缘,通过修改边缘提取算法的敏感度阈值获取合适的边缘检测图像,然后采用边界跟踪算法对边缘检测图像中的麻纤维进行识别和标记,利用循环标记出图像中所有的麻纤维并保存边界跟踪的路径点坐标,最后利用算法测量麻纤维的周长、面积和圆度。实验结果表明:该方法能够同时测量多根麻纤维的横截面参数;根据用于测试的标准圆的数据可知,本算法测得的麻纤维的周长偏差大约为3%,面积偏差大约为4%,数据误差较小。

关键词: 麻纤维, 横截面参数, 边界跟踪算法, 边缘提取, 纤维图像处理

Abstract:

It is difficult to simultaneously measure the parameters of multiple fibers in the cross-section image of fibers. To solve this problem, an algorithm based on boundary tracking for measuring the cross-section parameters of hemp fibers was proposed. After the edges of hemp fibers were extracted by an edge extraction algorithm, an appropriate edge detection image was obtained by modifying sensitivity threshold of the edge extraction algorithm. The hemp fibers were then identified and marked by a boundary tracking algorithm. All hemp fibers in the image were marked by cyclic marking and path point coordinates of boundary tracking were preserved. Finally, the algorithm was used to measure the perimeter, area and roundness of hemp fibers. The experimental results show that the method can simultaneously measure cross-sectional parameters of several hemp fibers. According to the data of the standard circle used for testing, the circumference deviation and area deviation of hemp fibers measured by this algorithm are about 3% and 4% respectively, and the data error is small.

Key words: hemp fiber, cross-section parameter, boundary tracking algorithm, edge extraction, fiber image processing

中图分类号:

TS127

张铮烨, 辛斌杰, 邓娜, 陈阳, 邢文宇. 基于边界跟踪测量麻纤维横截面参数的算法研究与应用[J]. 纺织学报, 2020, 41(02): 39-43.

ZHANG Zhengye, XIN Binjie, DENG Na, CHEN Yang, XING Wenyu. Research and application of algorithm for measuring hemp fiber cross-sectional parameters based on boundary tracking[J]. Journal of Textile Research, 2020, 41(02): 39-43.

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圆的直径/ 像素	理论周长/ 像素	理论面积/ 像素²	实际周长/ 像素	实际面积/ 像素²	周长偏差/ %	面积偏差/ %	圆度
20	62.8	314.2	64.3	332.0	2.4	5.7	1.009
50	157.1	1 963.5	160.8	2 041.5	2.3	4.0	0.990
150	471.2	17 671.5	506.6	18 456.0	7.5	4.4	1.030

基于边界跟踪测量麻纤维横截面参数的算法研究与应用

Research and application of algorithm for measuring hemp fiber cross-sectional parameters based on boundary tracking

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