Naslov
Texture-Based Detection of WellDefined Benthic Monoculture Boundaries From ROV Pilot Camera Images

Autori
Barišić, Matko ; Vasilijević, Antonio ; Nađ, Đula

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

Izvornik
Proceedings of the 4th COnference on Marine Technology in memory of Academician Zlatko Winkler / Rožanić, Igor - Rijeka : Tehnički fakultet Sveučilišta u Rijeci, 2011, 247-259

Skup
4th COnference on Marine Technology in memory of Academician Zlatko Winkler

Mjesto i datum
Rijeka, Hrvatska, 25.11.2011. - 26.11.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
image segmentation ; texture segmentation ; texture classification ; wavelet transform ; vector quantization ; nonlinear binary-image transforms ; benthic regions classifications ; benthic culture bed

Sažetak
The paper deals with an image processing method for extracting the direction of the propagation of the upper Neptune grass (Posidonia oceanica ) bed boundary along the sea-bottom by the use of a monocular camera. The ultimate goal of research is to integrate this classifier into a feedback loop allowing an ROV to navigate the upper sea-grass bed border autonomously. This facilitates geo- referenced mapping of the border. The algorithm for extraction features four distinct phases: multi-resolution analysis using wavelets, vector quantization, post-processing of the obtained binary image and the extraction of the line parameters. The classification and line-fitting procedure are computationally optimized and made more robust by using weights in the Least Squares fitting procedure, and using nonlinear binary-image domain processing.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti

POVEZANOST RADA