Color inspection of printed texture using scanner: compensation of positional deviation via NN model

It is very important to inspect color of printed texture in the textile process. Because a scanner is less sensitive to environmental light in view of color distinction, it is more effective than CCD camera in the color inspection. To distinguish the color of the printed texture, RGB color values obtained from a scanner must be transformed to the standard colorimetric system used in the textile industry. It is XYZ color system that is defined by CIE (Commission Internationale de l´Eclairage). The mapping from RGB to XYZ color values is not simple and the scanner has even a positional deviation of RGB colors. In this paper, an automatic color inspection method using a general scanning machine is presented. We used a NN (neural network) model to map RGB to XYZ and compensate the positional error. In the real experiments, this inspection system shows to get very exact XYZ values from the traditional scanner regardless of the measuring position.