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Information Journal Paper

Title

COLORIMETRIC SCANNER CALIBRATION FOR TEXTILES BY NEURAL-NETWORK

Pages

  215-215

Abstract

 In this study, COLORIMETRIC CALIBRATION of SCANNER has been done via PERCEPTRON NEURAL NETWORK with three or jour 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*b* or RGB leads to good results, with better results obtained for the L* a* b* method 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 COLORIMETRIC CALIBRATION of SCANNER.`

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    APA: Copy

    IZADAN, H., HOSSEINI, S.A., & ASHORI, M.. (2004). COLORIMETRIC SCANNER CALIBRATION FOR TEXTILES BY NEURAL-NETWORK. ESTEGHLAL, 22(2), 215-215. SID. https://sid.ir/paper/6062/en

    Vancouver: Copy

    IZADAN H., HOSSEINI S.A., ASHORI M.. COLORIMETRIC SCANNER CALIBRATION FOR TEXTILES BY NEURAL-NETWORK. ESTEGHLAL[Internet]. 2004;22(2):215-215. Available from: https://sid.ir/paper/6062/en

    IEEE: Copy

    H. IZADAN, S.A. HOSSEINI, and M. ASHORI, “COLORIMETRIC SCANNER CALIBRATION FOR TEXTILES BY NEURAL-NETWORK,” ESTEGHLAL, vol. 22, no. 2, pp. 215–215, 2004, [Online]. Available: https://sid.ir/paper/6062/en

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