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Title: Methods of Classification of the Genera and Species of Bacteria Using Decision Tree, Journal of Telecommunications and Information Technology, 2019, nr 4

Creator:

Plichta, Anna

Date:

2019, nr 4

Resource Type:

artykuł

Description:

This paper presents a computer-based method for recognizing digital images of bacterial cells. It covers automatic recognition of twenty genera and species of bacteria chosen by the author whose original contribution to the work consisted in the decision to conduct the process of recognizing bacteria using the simultaneous analysis of the following physical features of bacterial cells: color, size, shape, number of clusters, cluster shape, as well as density and distribution of the cells. The proposed method may be also used to recognize the microorganisms other than bacteria. In addition, it does not require the use of any specialized equipment. The lack of demand for high infrastructural standards and complementarity with the hardware and software widens the scope of the method’s application in diagnostics, including microbiological diagnostics. The proposed method may be used to identify new genera and species of bacteria, but also other microorganisms that exhibit similar morphological characteristics

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2119

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

pattern recognition decision tree bacterial genera and species

Object collections:

Last modified:

May 18, 2020

In our library since:

Feb 21, 2020

Number of object content hits:

51

All available object's versions:

https://bc.itl.waw.pl/publication/2410

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Edition name Date
Plichta Anna, Journal of Telecommunications and Information Technology, Methods of Classification of the Genera and Species of Bacteria Using Decision Tree, 2019, nr 4 May 18, 2020

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(+48) 5128 696

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