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Pregled bibliografske jedinice broj: 519124

Zbornik radova

Autori: Lehmann, Benjamin; Siantidis, K.; Aleksi, Ivan; Kraus, Dieter
Naslov: Efficient Pre-Segmentation Algorithm for Sidescan- Sonar Images
Izvornik: ISPA 2011, 7th International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir (ur.). - Zagreb : Academic Press , 2011. 471-475 (ISBN: 978-953-184-159-7).
ISSN: 1845-5941
Skup: ISPA 2011, 7th International Symposium on Image and Signal Processing and Analysis
Mjesto i datum: Dubrovnik, Croatia, 04.-06.09.2011.
Ključne riječi: Sonar detection; synthetic aperture sonar; image segmentation; object segmentation; real time systems
Sažetak:
This paper proposes a fast pre-segmentation algo- rithm based on matched filtering employing integral images. It is suitable for identifying regions of interest (ROI) in sonar images, in particular the detection of anomalies on the sea floor with focus on proud ground mines. Mines placed on the sea floor are still a vast threat in civil and military shipping. This potential risk is typically encountered by advanced sonar signal processing techniques and time consuming manual evaluation of the sonar data by a human operator. Due to mission specific time constraints a computer aided or even autonomous analysis of the huge amount of data is desired. A fast pre-segmentation of regions of interest (ROI) reduces not only the amount of data for the human operator and consecutive classification algorithms significantly ; it also allows for a real time processing system applicable in autonomous underwater vehicles (AUV).
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 165-0362980-2002, 165-0361621-2000
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Upisao u CROSBI: ialeksi@etfos.hr (ialeksi@etfos.hr), 8. Srp. 2011. u 16:59 sati



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