In the framework of the development of autonomous vehicle in order to perform a survey of extreme environments, such as the seabed, the demand for computer vision to support the on-board decision system is increasing. In particular we devote this work to improve the existing underwater curve detection procedures. We propose a method that statistically highlights archaeological artefacts among its environment, weighting properly the persistence of meaningful curves in the video sequence.To this aim we made use of an existing parameterless algorithm ELSD, suitable for digital image processing.

Curve recognition for underwater wrecks and handmade artefacts

Moroni D;Pascali M A;Reggiannini M;Salvetti O
2013

Abstract

In the framework of the development of autonomous vehicle in order to perform a survey of extreme environments, such as the seabed, the demand for computer vision to support the on-board decision system is increasing. In particular we devote this work to improve the existing underwater curve detection procedures. We propose a method that statistically highlights archaeological artefacts among its environment, weighting properly the persistence of meaningful curves in the video sequence.To this aim we made use of an existing parameterless algorithm ELSD, suitable for digital image processing.
2013
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-989-8565-50-1
Curve detection and recognition
Object detection
Underwater imaging
Underwater archaeology
I.4.8 IMAGE PROCESSING AND COMPUTER VISION. Scene Analysis
I.4.10 Image Representation
File in questo prodotto:
File Dimensione Formato  
prod_278099-doc_78227.pdf

solo utenti autorizzati

Descrizione: Curve Recognition for Underwater Wrecks and Handmade Artefacts
Tipologia: Versione Editoriale (PDF)
Dimensione 1.59 MB
Formato Adobe PDF
1.59 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/249090
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? ND
social impact