كاليبراسيون رنگي اسكنر براي منسوجات بوسيله شبكه عصبي

Colorimetric Scanner Calibration for Textiles by Neural-Network

In this study, calorimetric calibration of scanner has been done via perceptron neural network with three or four layers by back propagation algorithm for colored polyester fabrics. The results obtained for random training samples are not satisfactory but application of selective training samples for L a bʹ or RGB leads to good results, with better results obtained for the L"abmethod On the other hand the color differences between calculation XYZ and real XYZ for unknown samples, are not only in agreement with the results of polynomials and regression methods, but are also better than the results obtained in previous studies where neural network had been used for calorimetric calibration of scanner.