Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (8): 164-168.doi: 10.13475/j.fzxb.20180602505

• Management & Information • Previous Articles     Next Articles

Detection method of cohesive performance of raw silk based on machine vision

SUN Weihong(), RUAN Mianjiang, SHAO Tiefeng, LIANG Man   

  1. College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • Received:2018-06-04 Revised:2019-04-15 Online:2019-08-15 Published:2019-08-16

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Abstract:

Aiming at the problem of poor precision of artificial detection of existing raw silk cohesiveness and no objective quantitative indicators, a method based on machine vision for detecting the cohesive performance of raw silk was proposed. Firstly, the collected raw silk images were subjected to binarization processing, interference information removal, image filling and raw silk edge detection, and single-pixel raw silk edge feature was obtained. Then, by calculating the linear distance between the upper and lower edge points of the raw silk, the relative change of the diameter of the raw silk was obtained, and the cracked area was determined according to the axial length of the change of the diameter of the raw silk. Finally, the cohesive performance of the raw silk was characterized by the times of raw silk cohesion frictions corresponding to the cracked area greater than 6 mm. The experimental results show that the diameter values of the 200 sets of raw silk measured by the detection method are compared with the diameter values measured by the microscope, and the errors are all within 5%, which satisfies the requirement of raw silk cohesion performance detection.

Key words: cohesion performance, machine vision, number of friction, raw silk, binarization processing

CLC Number: 

  • TP391

Fig.1

Raw silk image acquisition system"

Fig.2

Schematic diagram of the collection area of raw silk friction zone"

Fig.3

Raw silk rubbed image"

Fig.4

Image of threshold segmentation"

Fig.5

Image of noise removal and fill image"

Fig.6

Raw silk image edge detection map"

Fig.7

Raw silk raw diameter measurement comparison chart"

Tab.1

Comparison of original diameter measurement results of four raw silks"

生丝
编号		 显微镜测量
均值/μm		 图像法测量
均值/μm		 像素距离
P0/像素
1# 56.8 57.0 28
2# 55.3 54.9 27
3# 52.8 52.9 26
4# 53.2 52.9 26

Fig.8

Relationship between raw silk cracking area and pixel distance"

Fig.9

Comparison of diameter measurement values of raw silk cracking area"

Fig.10

Number of frictions corresponding to different experimental groups"

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