In this paper, we propose a novel object detection algorithm for underwater environments exploiting multiscale graph-based segmentation. The graph-based approach to image segmentation is fairly independent from distortion, color alteration and other peculiar effects arising with light propagation in water medium. The algorithm is executed at different scales in order to capture both the contour and the general shape of the target cylindrical object. Next, the candidate regions extracted at different scales are merged together. Finally, the candidate region is validated by a shape regularity test. The proposed algorithm has been compared with a color clustering method on an underwater dataset and has achieved precise and accurate detection.

Computer vision in underwater environments: A multiscale graph segmentation approach / Kallasi, Fabjan; Lodi Rizzini, Dario; Oleari, Fabio; Aleotti, Jacopo. - (2015), pp. 1-6. ((Intervento presentato al convegno MTS/IEEE OCEANS 2015 - Genova tenutosi a ita nel 2015 [10.1109/OCEANS-Genova.2015.7271531].

Computer vision in underwater environments: A multiscale graph segmentation approach

KALLASI, Fabjan;LODI RIZZINI, Dario;OLEARI, FABIO;ALEOTTI, Jacopo
2015

Abstract

In this paper, we propose a novel object detection algorithm for underwater environments exploiting multiscale graph-based segmentation. The graph-based approach to image segmentation is fairly independent from distortion, color alteration and other peculiar effects arising with light propagation in water medium. The algorithm is executed at different scales in order to capture both the contour and the general shape of the target cylindrical object. Next, the candidate regions extracted at different scales are merged together. Finally, the candidate region is validated by a shape regularity test. The proposed algorithm has been compared with a color clustering method on an underwater dataset and has achieved precise and accurate detection.
9781479987368
9781479987368
Computer vision in underwater environments: A multiscale graph segmentation approach / Kallasi, Fabjan; Lodi Rizzini, Dario; Oleari, Fabio; Aleotti, Jacopo. - (2015), pp. 1-6. ((Intervento presentato al convegno MTS/IEEE OCEANS 2015 - Genova tenutosi a ita nel 2015 [10.1109/OCEANS-Genova.2015.7271531].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2810703
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