N. A. Aksionova, “Comparative analysis of filtration algorithms for images of architectural plans”, PFMT, 2024, no. 3(60), 86

Problemy Fiziki, Matematiki i Tekhniki (Problems of Physics, Mathematics and Technics)

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Problemy Fiziki, Matematiki i Tekhniki (Problems of Physics, Mathematics and Technics), 2024, Issue 3(60), Pages 86–91
DOI: https://doi.org/10.54341/20778708_2024_3_60_86 (Mi pfmt989)

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Comparative analysis of filtration algorithms for images of architectural plans

N. A. Aksionova

Francisk Skorina Gomel State University

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DOI: https://doi.org/10.54341/20778708_2024_3_60_86

Abstract: The use of smoothing filters for pre-processing images of architectural plans is considered. A comparative analysis of Gaussian and Roudin – Osher – Fatemi (ROF) filters based on the Chambolle model is carried out. The software modules are implemented in the Python programming language using OpenCV. The results showed that for pre-processing not very noisy images it is better to use a Gaussian filter, and for images with a high noise level it is better to use the ROF filter, which prevents the loss of special corner points.

Keywords: preprocessing, filtering, noise, Gaussian blur, Gaussian filter, Rudin – Osher – Fatemi filter, Chambolle model, Python, OpenCV.

Received: 17.05.2024

Bibliographic databases:

Document Type: Article

UDC: 004.932:004.94

Language: Russian

Citation: N. A. Aksionova, “Comparative analysis of filtration algorithms for images of architectural plans”, PFMT, 2024, no. 3(60), 86–91

Citation in format AMSBIB

\Bibitem{Aks24}

\by N.~A.~Aksionova

\paper Comparative analysis of filtration algorithms for images of architectural plans

\jour PFMT

\yr 2024

\issue 3(60)

\pages 86--91

\mathnet{http://mi.mathnet.ru/pfmt989}

\edn{https://elibrary.ru/HTGWNV}

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