Geodesic
Comparative analysis of filtration algorithms for images of architectural plans
Problemy fiziki, matematiki i tehniki, no. 3 (2024), pp. 86-91

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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, Gaussian blur, Gaussian filter, Rudin – Osher – Fatemi filter, Chambolle model, Python, OpenCV.
Mots-clés : noise 
@article{PFMT_2024_3_a14,
     author = {N. A. Aksionova},
     title = {Comparative analysis of filtration algorithms for images of architectural plans},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {86--91},
     publisher = {mathdoc},
     number = {3},
     year = {2024},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2024_3_a14/}
}
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N. A. Aksionova. Comparative analysis of filtration algorithms for images of architectural plans. Problemy fiziki, matematiki i tehniki, no. 3 (2024), pp. 86-91. http://geodesic.mathdoc.fr/item/PFMT_2024_3_a14/