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Pregled bibliografske jedinice broj: 519124

Efficient Pre-Segmentation Algorithm for Sidescan- Sonar Images


Lehmann, Benjamin; Siantidis, K.; Aleksi, Ivan; Kraus, Dieter
Efficient Pre-Segmentation Algorithm for Sidescan- Sonar Images // ISPA 2011, 7th International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir (ur.).
Zagreb: Academic Press, 2011. str. 471-475 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Efficient Pre-Segmentation Algorithm for Sidescan- Sonar Images

Autori
Lehmann, Benjamin ; Siantidis, K. ; Aleksi, Ivan ; Kraus, Dieter

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
ISPA 2011, 7th International Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir - Zagreb : Academic Press, 2011, 471-475

ISBN
978-953-184-159-7

Skup
ISPA 2011, 7th International Symposium on Image and Signal Processing and Analysis

Mjesto i datum
Dubrovnik, Croatia, 04.-06.09.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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).

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
165-0361621-2000 - Distribuirano računalno upravljanje u transportu i industrijskim pogonima (Željko Hocenski, )
165-0362980-2002 - Postupci raspoređivanja u samoodrživim raspodijeljenim računalnim sustavima (Goran Martinović, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Autor s matičnim brojem:
Ivan Aleksi, (295570)