• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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Volume 20 Issue 1
Feb.  2007
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Article Contents
DING Errui, ZENG Ping, WANG Yifeng. Color Calibration Based on KPCA and ANFIS[J]. Journal of Southwest Jiaotong University, 2007, 20(1): 24-28.
Citation: DING Errui, ZENG Ping, WANG Yifeng. Color Calibration Based on KPCA and ANFIS[J]. Journal of Southwest Jiaotong University, 2007, 20(1): 24-28.

Color Calibration Based on KPCA and ANFIS

  • Received Date: 08 May 2006
  • Publish Date: 25 Feb 2007
  • An algorithm for color calibration was proposed by integrating an ANFIS(adaptive-network-based fuzzy inference system) with KPCA(kernel principal component analysis).The algorithm maps the input data into a higher dimensional feature space with a kernel function first,then extracts principal components of the mapped data by the PCA,and finally implements color calibration by the ANFIS.Experimental results indicate that the proposed algorithm is feasible and effective,and is superior to the conventional ANFIS in both precision and robustness.The average error,maximum error and the error standard deviation regarding the test data(training data) decrease by 37%(45%),34%(40%) and 35%(40%),respectively.

     

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