Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (03): 115-121.doi: 10.13475/j.fzxb.20200502207

• Dyeing and Finishing & Chemicals • Previous Articles     Next Articles

Rapid detection method of single-component dye liquor concentration based on machine vision

TIAN Yuhang, WANG Shaozong(), ZHANG Wenchang, ZHANG Qian   

  1. State Key Laboratory of Advanced Forming Technology and Equipment, China Academy of Machinery Science and Technology, Beijing 100083, China
  • Received:2020-05-11 Revised:2020-11-30 Online:2021-03-15 Published:2021-03-17
  • Contact: WANG Shaozong E-mail:wszbit@163.com

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Abstract:

A method based on machine vision was proposed to detect the concentration of dye liquor with a single-component for the printing and dyeing industry.With this method, a machine vision detection platform was built with a color adjustable backlight source and an industrial color camera. The single-component dye liquor sample with a concentration range of 0-0.4 g/L was placed on a backlight light source through a glass dish for image acquisition and processing, in order to obtain the color characteristic values of the dye liquor, and to get the relationship between the RGB value and concentration of dye liquor under different light source conditions.Based on Lambert-Beer law, the relational model between the RGB value and dye liquor concentration was built to predict the concentration of dye in the dye liquor.It is verified by experimental fact that for the DRA-3R dye liquor, the minimum value model established under the condition of blue light intensity 50 has the highest prediction accuracy. The absolute value of the average relative error of the results is 3.35%. Experiments show that the method offers fast detection speed and low cost, which provides a certain research base for industrial application of on-line detection of dye liquor concentration.

Key words: machine vision, color backlight source, detection of dye liquor concentration, dye liquor, RGB value

CLC Number: 

  • TS190.4

Fig.1

Diagram of dye liquor concentration detection device based on machine vision"

Fig.2

Prototype of dye liquor concentration detection device"

Tab.1

RGB values of standard samples"

染料型号 染液质量浓度/(g·L-1) R值 G值 B值
DRA-3B 0.4 205.77 27.6 8.27
DRA-3R 0.4 230.97 118.75 30.13
DRA-3G 0.2 4.26 22.86 49.43

Fig.3

Relationship between R、G、B value and concentration of dye liquor when light source is green and red. (a) Light source is green(level 20); (b) Light source is red(level 10)"

Fig.4

Relationship between R、G、B values and dye concentration when light source is blue with different level. (a) Level 50; (b) Level 20; (c) Level 15; (d) Level 10"

Tab.2

Regression equations and determination coefficients between R、G、B value and concentration of dye liquor"

蓝光亮度等级 因变量 回归方程 决定系数r2
50 R y=78.551 03×10-4.038 84x 0.997 30
G y=410.039 33×10-3.122 55x 0.989 66
B y=2 121.081 35×10-4.575 25x 0.976 26
20 R y=27.567 31×10-4.204 28x 0.996 97
G y=163.335 7×10-3.374 1x 0.998 79
B y=690.187 ×10-4.410 42x 0.992 08
15 R y=20.579 4×10-4.569 75x 0.997 63
G y=122.772 88×10-3.624 28x 0.998 91
B y=444.944 75×10-4.304 12x 0.996 11
10 R y=13.768 9×10-4.314 87x 0.994 49
G y=84.228 05×10-3.363 2x 0.996 65
B y=13.768 9×10-4.043 69x 0.993 99

Tab.3

Equations of linear regression and determination coefficients"

蓝光亮
度等级		 因变量 回归方程 决定系数r2
50 lg(R0/R) y=4.27157x-0.02536 0.991 2
20 lg(G0/G) y=3.55831x-0.0204 0.997 5
15 lg(G0/G) y=3.40354x+0.02737 0.993 3
10 lg(G0/G) y=4.52617x-0.22988 0.996 6

Tab.4

Results of liner model verification"

蓝光亮
度等级		 染液质量浓度/(g·L-1) 相对
误差/%		 平均相对误差
绝对值/%
实际值 预测值
50 0.05 0.050 4 0.75 3.83
0.10 0.051 4 6.61
0.25 0.106 6 -3.58
0.30 0.241 1 -5.25
0.35 0.284 2 -2.28
0.40 0.342 0 -4.53
20 0.05 0.050 6 1.29 3.80
0.10 0.103 4 3.45
0.25 0.241 1 -3.57
0.30 0.283 1 -5.64
0.35 0.337 8 -3.49
0.40 0.378 5 -5.36
15 0.05 0.037 1 -25.84 7.33
0.10 0.096 3 -3.69
0.25 0.242 1 -3.15
0.30 0.284 0 -5.34
0.35 0.346 5 -1.00
0.40 0.380 2 -4.95
10 0.05 0.051 2 2.31 3.45
0.10 0.103 2 3.23
0.25 0.244 4 -2.26
0.30 0.281 5 -6.16
0.35 0.349 5 -0.14
0.40 0.373 6 -6.60

Tab.5

Results of minimum value model verification"

蓝光亮
度等级		 染料质量浓度/(g·L-1) 相对
误差/%		 平均相对误差
绝对值/%
实际值 预测值
50 0.05 0.047 4 -5.20 3.35
0.10 0.104 1 4.10
0.25 0.245 3 -1.88
0.30 0.290 3 -3.23
0.35 0.342 8 -2.06
0.40 0.385 6 -3.60
20 0.05 0.047 4 -5.20 3.71
0.10 0.108 4 8.40
0.25 0.244 8 -2.08
0.30 0.290 8 -3.07
0.35 0.347 1 -0.83
0.40 0.389 2 2.70
15 0.05 0.041 6 -16.80 6.39
0.10 0.095 7 -4.30
0.25 0.238 0 -4.80
0.30 0.280 4 -6.53
0.35 0.344 3 -1.63
0.40 0.382 9 -4.95
10 0.05 0.045 7 -8.60 3.98
0.10 0.102 0 2.00
0.25 0.258 3 3.32
0.30 0.301 2 0.40
0.35 0.376 8 7.66
0.40 0.407 5 1.87
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