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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	395-401
Number of pages	7
Journal	Advances in Intelligent and Soft Computing
Volume	95
Issue number	4
DOIs	https://doi.org/10.1007/978-3-642-20320-6_41
Publication status	Published - 1 May 2011

Keywords

HASKE
Machine learning
Multispectral images analysis
Nonparametrical regression

ASJC Scopus subject areas

General Computer Science

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

Cite this

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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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IS - 4

ER -

Kernel postprocessing of multispectral images

Abstract

Keywords

ASJC Scopus subject areas

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