Research On The Rating Method Of Textile Color Fastness Based On Digieye Digital Color Measurement System

China is the largest textile production, consumption and import and export power in the world. In advocating green consumption today, there are high increasingly demands of safety,hygiene and health for textile. Color fastness is the most basic and important safety technology indicators of textile which is the resistance to external forces of color printed on fabrics. Color printed on fabrics fades during the use by the sun, rain, washing, ironing, perspiration, friction,chemicals and other effects. The fading color stains on skins or other fabric parts. It will reduce the use value of textiles and affect the health of consumers. Current fastness rating is generally used by eyes rating. The traditional method for color fastness rating exists lack of objectivity,inefficient and many other issues. Therefore, it is necessary to establish a rapid and objective method for color fastness rating.This paper uses digital imaging rating system based on digital image technology to establish the rapid color fastness rating method. The results of digital imaging rating system are compared with visual ratings and traditional colorimeter rating to study the applicability in different test conditions and surface characteristics of the fabric. The rapid color fastness rating method can not only measure the color change of a small area but also can automatically select multiple adjacent fabric and samples to perform staining and discoloration rating. This method can make the rating more rapid, accurate, and intuitive and is suitable for different pattern and structure fabrics.In this paper, the main research contents and conclusions are as follows:(1) It is concluded that digital imaging rating system and colorimeter are available for most samples by using instrumental methods to test color fastness grade of routine samples and fabric with special surface features,but there is a big difference between the results of instrumental methods and eye evaluation for yellow coated fabrics.(2) The applicability of Digieye digital imaging rating system is better than spectrophotometry in instrumental methods by studying the applicability of instrument conditions on six different surface characteristics of the fabric.It is also concluded that Digieye system ismore suitable for assessing the color fastness of mesh fabrics,multicolor pattern fabrics and nap fabrics.(3) Results of illumination D65 has better consistency with visual than illumination A and can truly reflect the color of an object by comparing the difference between Digieye digital imaging rating system,s results and visual rating and spectrophotometer.(4) Compared the calculated results of digital imaging rating system and spectrophotometer with eye rating in two different color formula, CIE DE2000 formula adjusted on the CIE LAB formula improves agreement between the calculated results of CIE LAB formula and visual assessment and is closer to eye evaluation results.(5) Comprehensive comparison of the applicability of geometric conditions for routine samples and fabric with special surface features shows that d/8 is more available for assessing color fastness than 45/0 and 0/45 and there is a good agreement between 10° and 2 °.(6) There are some significant differences between the two results by using spss software to carry on paired samples t-test for the 25 specimens, results selected from 200 group samples with different staining and discoloration degree of rapid digital image rating and visual assessment.Selecting ΔL*、Δa*、Δb* as independent variable and the difference between results of rapid instrumental rating and visual rating as the dependent variable to establish a mathematical model for Digieye rapid rating system and visual rating. It is proved that there is a good agreement between the results modified by this mathematical model of rapid rating and eye rating. Through analyzing 20 groups, results of the same rating object tested by the same inspector at different times, it is concluded that there is a good repeatability of testing results for Digieye rapid rating methods based on digital image technology.