Selection of the most important components from multispectral images for detection of tumor tissue

• Autorzy: Michalak M. , Świtoński A. , Stawarz M.
• Języki publikacji: EN

Abstrakty

EN

The problem raised in this article is the selection of the most important components from multispectral images for the purpose of skin tumor tissue detection. It occured that 21 channel spectrum makes it possible to separate healthy and tumor regions almost perfectly. The disadvantage of this method is the duration of single picture acquisition because this process requires to keep the device very stable. In the paper two approaches to the problem are presented: hill climbing strategy and some ranking methods.

Słowa kluczowe

EN

pattern recognition; multispectral analysis; dimensionality reduction; feature selection

PL

rozpoznawanie obrazów; analiza wielospektralna; obniżenie wymiarowości; wybór funkcji

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2011
• Tom: Vol. 17
• Strony: 303--308
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Michalak M.

• Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

autor

Świtoński A.

autor

Stawarz M.

Bibliografia

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