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

Michalak M., Świtoński A., Stawarz M.

Journal of Medical Informatics & Technologies

2011

Vol. 17

303--308

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.