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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures

Data publikacji: 01.12.2023

Geoinformatica Polonica, 2023, Vol. 22 (2023), s. 61 - 67

https://doi.org/10.4467/21995923GP.23.005.18604

Autorzy

Michał M. Buczek
AGH University of Science and Technology, Adama Mickiewicza 30, 30-059 Kraków, Polska
Wszystkie publikacje autora →

Tytuły

Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures

Abstrakt

Nowadays the amount of gathered raw data emphasizes the importance of further data processing done by skilled engineers aided by computer algorithms. Researchers develop new algorithms for the automated determination of geometrical features, such as symmetry and main axes, skeleton lines, etc. This paper presented a new algorithm to compute an unbranched axis. It was based on the Curve of Minimal Radii (CMR) algorithm, and it overcomes its significant limitations depending on the shape of the input data. To define the accuracy of the results the threshold parameter was introduced. The described approach is more comprehensive than CMR in terms of the object shape. The tests were conducted on several planar objects, and the results were compared with the original CMR axes and Medial Axis.

Bibliografia

Pobierz bibliografię

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Informacje

Informacje: Geoinformatica Polonica, 2023, Vol. 22 (2023), s. 61 - 67

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Angielski:

Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures

Polski:

Iteracyjne podejście w algortymie ścieniania obszarów dla obiektów 2D reprezentujących wydłużone budowle inżynierskie

Autorzy

AGH University of Science and Technology, Adama Mickiewicza 30, 30-059 Kraków, Polska

Publikacja: 01.12.2023

Status artykułu: Otwarte __T_UNLOCK

Licencja: CC BY-NC-ND  ikona licencji

Udział procentowy autorów:

Michał M. Buczek (Autor) - 100%

Korekty artykułu:

-

Języki publikacji:

Angielski