Kernel postprocessing of multispectral images

Marcin Michalak; Adam ͆witoński

doi:10.1007/978-3-642-20320-6_41

Kernel postprocessing of multispectral images

Central Mining Institute
Polish-Japanese Academy of Information Technology

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

Abstrakt

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.

Język oryginału	angielski
Strony (od–do)	395-401
Liczba stron	7
Czasopismo	Advances in Intelligent and Soft Computing
Tom	95
Numer wydania	4
Identyfikatory DOI	https://doi.org/10.1007/978-3-642-20320-6_41
Status publikacji	Opublikowano - 1 maj 2011

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10.1007/978-3-642-20320-6_41

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abstract = "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.",

keywords = "HASKE, Machine learning, Multispectral images analysis, Nonparametrical regression",

author = "Marcin Michalak and Adam ͆wito{\'n}ski",

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N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2011.

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Y1 - 2011/5/1

N2 - 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.

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KW - HASKE

KW - Machine learning

KW - Multispectral images analysis

KW - Nonparametrical regression

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Kernel postprocessing of multispectral images

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