Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (05): 163-169.doi: 10.13475/j.fzxb.20180407007

• Management & Information • Previous Articles     Next Articles

Color shading detection and rating system for denim based on computer vision

HUANG Jiajun, KE Wei, WANG Jing, DENG Zhongmin()   

  1. Key Laboratory of Textile Fiber Products, Ministry of Education, Wuhan Textile University,Wuhan, Hubei 430073, China
  • Received:2018-04-27 Revised:2019-01-25 Online:2019-05-15 Published:2019-05-21
  • Contact: DENG Zhongmin E-mail:dzm@wtu.edu.cn

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Abstract:

Focusing on subjective difference based on the human eye evaluation of current denim color detection,a computer vision-based denim color shading detection and rating system was proposed. Firstly, images of denim washing cloths and standard cloths under a standard light source were collected using a camera. Secondly, computer graphics principles and techniques, image processing, color space conversion and other technologies were adopted. Finally,a color shading detection and rating system for denim clothing was established by using MatLab and VC++ mixed programming technology. In order to acquire more accurate ratings data, a concept of percentage of diversity factor-value of chromatism was proposed, and the color shading diversity factor equation was obtained by fitting the value of chromatism under different degrees of difference to be as a rating indicator of denim clothing color shading detection system. The experimental results indicate that the color shading detection and grading system for denim based on computer vision has good consistency with the visual evaluation method, and the data value obtained by the system is more objective and accurate.

Key words: color shading detection, color space conversion, color shading calculate, rating system, image processing

CLC Number: 

  • TS187

Fig.1

Denim clothing color detection system working chart"

Fig.2

Denim clothing RGB image (a) and brightness image (b)"

Fig.3

Comparison of denim clothing. (a) 3 pixel×3 pixel median filter; (b) 3 pixel×3 pixel mean filter"

Fig.4

Re-synthesized RGB image"

Tab.1

Results of color difference and diversity factor"

色差值 差异度/%
0.285 8 0
0.785 1 5
1.368 7 10
1.924 6 15
5.823 7 40
59.011 2 100

Fig.5

Fitting curve of diversity factor-value of chromatism. (a)Quadratic curve; (b)Cubic curve; (c)Rational function"

Tab.2

Fitting equations for diversity factor-value of chromatism"

曲线拟合 拟合方程 误差平方和 R2
二次曲线拟合 y=0%,x≤0.2858y=(0.1017x2+7.709x-0.8893)×100%,x>0.2858 4.347 00 0.999 4
三次曲线拟合 y=0%,x≤0.2858y=(0.00656x3-0.5309x2+10.23x-2.841)×100%,x>0.2858, 0.580 5 0.999 8
有理函数拟合 y=0%,x≤0.2858y=(118.7x-37.27x+10.64)×100%,x>0.2858 0.409 5 0.999 9

Fig.6

Denim clothing color difference detection rating system interface"

Tab.3

Denim clothing color detection rating results compared with expert visual inspection results"

牛仔布
样本		 色差值
(CIEDE2000)		 差异
度/%		 目测评级结果
专家1 专家2
第1组 0.352 8 0.42 4~5级 4~5级
第2组 0.588 8 2.91 4级 4级
第3组 0.721 8 4.26 4级 4级
第4组 0.861 7 5.65 4级 3~4级
第5组 1.285 8 9.67 3~4级 4级
第6组 1.741 5 13.69 3~4级 3~4级
第7组 1.889 6 14.93 3~4级 3~4级
第8组 2.113 4 16.75 不合格 不合格
第9组 5.077 3 35.96 不合格 不合格
第10组 7.651 4 47.26 不合格 不合格
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