• Ricard PradosEmail author
  • Rafael Garcia
  • László Neumann
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


This chapter validates the proposed processing pipeline across several seafloor datasets, in order to evaluate its performance in different scenarios. The three first datasets belong to large-scale optical surveys of the Mid-Atlantic Ridge, and where acquired by the VICTOR-6000 ROV during three different scientific cruises over the last 8 years. These datasets are composed by thousands of grayscale images and cover hundreds of square meters. These datasets allow demonstrating the suitability of the proposed solution when facing large datasets of images affected by the previously described underwater phenomena, and consequently showing constantly varying appearances. The pipeline is also used to process a shipwreck dataset acquired by the Girona 500 AUV, in order to test its performance when facing high-resolution color images. The relevance of the proposed blending pipeline for scientific purposes is demonstrated, with applications such as change detection and monitoring of interest areas over time. Finally, the obtained results are summarized and evaluated.


High-quality photo-mosaic Large-scale underwater surveys Temporal variations 


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Copyright information

© The Author(s) 2014

Authors and Affiliations

  • Ricard Prados
    • 1
    Email author
  • Rafael Garcia
    • 1
  • László Neumann
    • 1
  1. 1.University of GironaGironaSpain

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