A Method for Segmenting FLIR Images of Maritime Objects Based on Visual Perception

• Autorzy: Pietkiewicz Tadeusz

Identyfikatory

DOI

10.5604/01.3001.0055.2263

Warianty tytułu

PL

Metoda segmentacji obrazów FLIR obiektów morskich oparta na percepcji wzrokowej

• Języki publikacji: EN

Abstrakty

EN

In this paper, a modified adaptive grayscale image segmentation method based on human psychovisual phenomena (VPS) is proposed. This method generates a binarization threshold for each pixel separately. Compared to the0classical VPS method, the use of a pixel observation model in the form of concentric circles is proposed. In the final part of the paper, this method was applied to segment preprocessed FLIR (forward looking infra-red) images of maritime objects. The results obtained by this method were compared with the segmentation results of the same images by the Otsu method using mathematical criteria. The study confirmed better segmentation performance using the modified VPS method.

PL

W artykule zaproponowano zmodyfikowaną adaptacyjną metodę segmentacji obrazów w skali szarości opartą na zjawiskach psychowizualnych człowieka (VPS). Metoda ta generuje próg binaryzacji dla każdego piksela osobno. W porównaniu do klasycznej metody VPS zaproponowano zastosowanie modelu obserwacji pikseli w postaci koncentrycznych okręgów. W końcowej części artykułu metoda ta została zastosowana do segmentacji wstępnie przetworzonych obrazów FLIR (forward looking infra-red) obiektów morskich. Wyniki uzyskane tą metodą zostały porównane z wynikami segmentacji tych samych obrazów metodą Otsu przy użyciu kryteriów matematycznych. Badanie potwierdziło lepszą wydajność segmentacji przy użyciu zmodyfikowanej metody VPS.

Słowa kluczowe

EN

forward looking infra-red images; image segmentation; visual perception-based segmentation

PL

obrazy FLIR w podczerwieni; segmentacja obrazu; segmentacja oparta na percepcji wzrokowej

• Wydawca: Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Biuletyn Wojskowej Akademii Technicznej
• Rocznik: 2025
• Tom: Vol. 74, No. 1
• Strony: 17--35
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Pietkiewicz Tadeusz

• Military University of Technology, Faculty of Electronics, Institute of Radioelectronics, 2 gen. S. Kaliskiego St., 00-908 Warsaw, Poland

• https://orcid.org/0000-0002-6656-412X

Bibliografia

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Uwagi

1. Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).

2. This work was financed by the Military University of Technology under Research Project UGB 736.