Title
A novel approach for pattern recognition by using graph theory and its application in mechanical engineering
Authors
[ 1 ] Instytut Technologii Mechanicznej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee
Scientific discipline (Law 2.0)
Year of publication
2021
Published in
Article type
scientific article
Publication language
english
Keywords
EN
- intelligent systems
- graph theory
- fractal dimension
- pattern recognition
Abstract
EN n this article, we present a novel approach for pattern recognition by using graph theory and its application in mechanical engineering. One of the most important characteristics of the microstructure of a material is the grain size. The analysis of structure is based on statistical methods and on the principle: from the general image of the structure to the particular (individual grains) by averaging. With computer methods, material structure is characterized by analyzing each grain. When using computer software tools it is also possible to analyze the area occupied by a certain structure directly, without the need for approximate calculations, as well as automatically create a report file. The aim of this paper is to present a new methodology; a novel approach for pattern recognition by using graph theory and its application in the analysis of grain size distribution values. These values were obtained from SEM images of robot laser-hardened specimens using estimating methods to calculate the fractal dimension of 3D objects and calculating the density of 3D visibility graphs.
Pages (from - to)
5 - 10
Open Access Mode
open journal
Open Access Text Version
final published version
Date of Open Access to the publication
at the time of publication
Ministry points / journal
40
Ministry points / journal in years 2017-2021
40
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