Kernel Postprocessing of Multispectral Images

  • Marcin Michalak
  • Adam Świtoński
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)


Multispectral analysis is the one of possible ways of skin desease detection. This short paper describes the nonparametrical way of multispectral image postprocessing that improves the quality of obtained pictures. The method below may be described as the regressional approach because it uses kernel regression function estimator as its essence. The algorithm called HASKE was developed as the time series predictor. Its simplification may be used for the postprocessing of multispectral images.


Multispectral images analysis nonparametrical regression machine learning HASKE 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Marcin Michalak
    • 1
    • 2
  • Adam Świtoński
    • 2
    • 3
  1. 1.Central Mining InstituteKatowicePoland
  2. 2.Silesian University of TechnologyGliwicePoland
  3. 3.Polish-Japanese Institute of Information TechnologyWarszawaPoland

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