数码相机在染色织物色差测量中的应用

Color difference measurement of dyed fabrics using digital camera

针对目前颜色及色差测量设备单一、价格昂贵等问题,对应用数码相机进行织物色差预测的可行性进行研究。首先通过自制图像采集系统对样本图像进行采集;然后从RAW格式图像中提取原始的RGB响应信息;最后建立原始RGB响应信息和CIE L*a*b*值之间的非线性回归模型实现样本颜色的测量,并对织物色差进行预测。480张色卡样本的实验结果表明:所构建的非线性回归模型参数数量并非越多越好,其有效度依赖于所选择的特定参数。回归模型应用于纺织品CNCS色卡和染色样布的色差测量结果表明:所得平均色差差值分别为1.16和1.34,接近于Digi Eye测色结果,且能与其保持良好的一致性,说明此方法在织物色差预测与评价中有较好的可行性和实用价值。

Aiming at solving single and expensive problem of current color measurement equipment,the feasibility of the prediction on the difference in fabric color difference measurement using a digital camera were studied. Firstly,the self-designed image acquisition system with a digital camera were used to capture sample images. Secondly,the original RGB response information was extracted from RAW format image. Finally,a non-linear regression model between original RGB response information and CIE L＊a＊b＊was used to measure the sample color. Then,the difference of fabric color difference was predicted. The experiment results of 480 color card samples show that the number of parameters of the nonlinear regression model constructed is not as good as possible,and its validity depends on the specific parameters selected. The model was also applied to CNCS textile color card and dyed fabric,showing that the average color difference errors are 1. 16 and 1. 34,respectively,which is close to the results of Digi Eye with a high consistency. The regression model designed in this paper has good feasibility in the prediction and evaluation on fabric color difference.