Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (02): 39-43.doi: 10.13475/j.fzxb.20190204905

• Fiber Materials • Previous Articles     Next Articles

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. 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 E-mail:xinbj@sues.edu.cn

RichHTML

4

PDF (PC)

61

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

CLC Number: 

  • TS127

Fig.1

Original image of hemp fibers(×20)"

Fig.2

Comparisons of algorithms(×220). (a)Direct binarization;(b)Algorithm in this paper"

Fig.3

Edge detection graph of canny operator(×220). (a)Adaptive sensitivity;(b)Sensitivity is 0;(c)Sensitivity is 0.3; (d)Sensitivity is 0.5"

Fig.4

8 Neighborhood direction code"

Fig.5

Single fiber boundary tracking chart"

Fig.6

Preprocessing (a) and boundary tracking(b)image(×220)"

Fig.7

Comparison of multi-fibres treatment effects. (a)Common algorithms;(b)Algorithm in this paper"

Tab.1

Statistics data of test circles"

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

Fig.8

Cross-sectional parameters of hemp fibers"

Fig.9

Roundness statistics of hemp fibers"

[1] 郭荣幸. 基于纤维图像的横截面轮廓提取和识别技术[J]. 现代丝绸科学与技术, 2016,31(1):35-37.
GUO Rongxing. Cross section contour extraction and recognition technology based on fiber image[J]. Modern Silk Science and Technology, 2016,31(1):35-37.
[2] 应乐斌, 戴连奎, 吴俭俭, 等. 基于纤维纵向显微图像的棉/亚麻单纤维识别[J]. 纺织学报, 2012,33(4):12-18.
YING Lebin, DAI Liankui, WU Jianjian, et al. Single fiber identification of cotton/flax fabric based on longitudinal view of microscopic fiber images[J]. Journal of Textile Research, 2012,33(4):12-18.
[3] 张传雄, 吴雄英. 图像处理技术在纤维素纤维纵向特征参数研究中的应用[J]. 东华大学学报(自然科学版), 2006(1):46-49.
ZHANG Chuanxiong, WU Xiongying. The application of image processing technology to the characteristic parameters of cellulose fibers[J]. Journal of Donghua University(Natural Science Edition), 2006(1):46-49.
[4] BEL P D, XU B G. Fiber longitudinal measurements for predicting white speck contents of dyed cotton fabrics[J]. Textile Research Journal, 2010,80(11):1047-1055.
doi: 10.1177/0040517509352516
[5] FRYDRYCH I, RACZYNSKA M, CEKUS Z. Measurement of cotton fineness and maturity by different methods[J]. Fibres and Textiles in Eastern Europe, 2010,18(6):54-59.
[6] GUO X W, OUYANG W B, XU B G. Assessing cotton maturity using distributional parameters of fiber cross-section measurements[J]. Textile Research Journal, 2014,84(15):1666-1676.
doi: 10.1177/0040517514527375
[7] 吴兆平, 余序芬. 羊毛细度与横截面几何参量的微机图象分析[J]. 上海工程技术大学学报, 1995(3):6-10.
WU Zhaoping, YU Xufen. Image processing method for measuring the fineness and geometric parmeters of the wool[J]. Journal of Shanghai University of Engineering Scince, 1995(3):6-10.
[8] WAN Y, YAO L, XU B G. Automatic segmentation of fiber cross sections by dual thresholding[J]. Journal of Engineered Fibers and Fabrics, 2012,7(1):114-120.
[9] 陶伟森, 许忠保, 陈威, 等. 采用数字图像处理的羊毛与羊绒纤维识别[J]. 棉纺织技术, 2018,46(2):1-4.
TAO Weisen, XU Zhongbao, CHEN Wei, et al. Identification of wool and cashmere fiber based on digital image processing[J]. Cotton Textile Technology, 2018,46(2):1-4.
[10] JIA L F, JIA X Y. Automatic identification of ramie and cotton fibers based on iodine blue reaction: part II: automatic identification of ramie and cotton using color, texture, shape, and stripes[J]. Textile Research Journal, 2016,86(15):1637-1650.
doi: 10.1177/0040517515603806
[11] TURNER C, SARI-SARRAF H, HEQUET E, et al. Variation in maturity observed along individual cotton fibers using confocal microscopy and image analysis[J]. Textile Research Journal, 2015,85(8):867-883.
doi: 10.1177/0040517514551466
[12] VIRK A S, HALL W, SUMMERSCALES J. Physical characterization of jute technical fibers: fiber dimen-sions[J]. Journal of Natural Fibers, 2010,7(3):216-228.
doi: 10.1080/15440478.2010.504389
[13] WANG Q D, XU B G. A coupled-contour model for effective segmentation of cotton cross-sections in wide-field microscopic images[J]. Textile Research Journal, 2017,87(12):1509-1521.
doi: 10.1177/0040517516654113
[14] WANG R W, TANG L P, ZENG P F, et al. Characterizing profiled fibers by multiscale shape representations[J]. Journal of Testing and Evaluation, 2012,40(3):435-439.
[15] WANG Z L, ZHONG Y Q, WANG S Y. Profiled fiber cross-sectional shape characterization for identi-fication[J]. International Journal of Clothing Science and Technology, 2011,23(2/3):131-141.
doi: 10.1108/09556221111107324
[16] ZHANG X, LI D L, YANG W Z, et al. An improved morphological edge detection method for color images of cotton foreign fibers[J]. Sensor Letters, 2011,9(3):1020-1023.
doi: 10.1166/sl.2011.1402
[1] ZHENG Zhenrong, ZHI Wei, XING Jiangyuan, DU Huanfu, XU Zijian. Ammonium oxalate-enzyme combining degumming process of hemp fiber [J]. Journal of Textile Research, 2019, 40(11): 88-93.
[2] CAI Yichao, ZHOU Xiao, SONG Mingfeng, MOU Xin'gang. Defect detection of cheese yarn based on multi-scale multi-direction template convolution [J]. Journal of Textile Research, 2019, 40(04): 152-157.
[3] . Graphic contour extraction for printed fabric based on Ttxture smoothing [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(11): 162-167.
[4] . Low-loss optimization of cotton/ hemp blending process [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(01): 35-39.
[5] . Mechanical properties of hemp/polylactic acid composite foamed material [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(01): 28-34.
[6] YANG Zi-Ping, ZHANG Jian-Chun, ZHANG Hua, ZHANG Xiao-Xia, GAO Zhi-Qiang. Assessing of carbon footprint of hemp product according to PAS2050 [J]. JOURNAL OF TEXTILE RESEARCH, 2012, 33(8): 140-144.
[7] Zhang Jinqiu;ZHANG Jianchun;WANG Shanyuan. Effect of softening finishing on properties of hemp fibers [J]. JOURNAL OF TEXTILE RESEARCH, 2010, 31(4): 98-102.
[8] WU Junnan;HAO Xinmin;FENG Xinxing;ZHANG Jiazhong;CHEN Jianyong. Effect of steam explosion treatment on the structure and properties of hemp fibers [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(4): 14-17.
[9] JI Yingchao;ZHANG Chaobo;JIANG Fengqin. Effect of pressure holding time in the seam explosion on the hemp fiber degumming [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(1): 66-68.
[10] 周永凯.;张建春;张华. Bacteria resistant property of hemp fiber and its anti-bacterial mechanism [J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(6): 12-15.
[11] . High temperature and steam explosion united degumming of hemp f ibers [J]. JOURNAL OF TEXTILE RESEARCH, 2007, 28(11): 76-80.
[12] LI Jin-hua. Dyeing and finishing process of hemp/cotton knitted fabric [J]. JOURNAL OF TEXTILE RESEARCH, 2006, 27(8): 92-94.
[13] ZHANG Jin-qiu;ZHANG Hua;HAO Xin-min;JIANG Feng-qin. Relationship between high temperature scouring time and degumming quality of hemp fiber [J]. JOURNAL OF TEXTILE RESEARCH, 2006, 27(2): 81-83.
[14] HUANG Cui-rong;YU Wei-dong . HUANG Cui-rong1,2;YU Wei-dong2 [J]. JOURNAL OF TEXTILE RESEARCH, 2005, 26(6): 84-85.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备14006648号
Copyright 2021 © Editorial office of Journal of Textile Research
Supported by Beijing Magtech Co.Ltd