• Login
    About WHOAS
    View Item 
    •   WHOAS Home
    • Woods Hole Oceanographic Institution
    • Academic Programs
    • WHOI Theses
    • View Item
    •   WHOAS Home
    • Woods Hole Oceanographic Institution
    • Academic Programs
    • WHOI Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WHOASCommunities & CollectionsBy Issue DateAuthorsTitlesKeywordsThis CollectionBy Issue DateAuthorsTitlesKeywords

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Computational imaging and automated identification for aqueous environments

    Thumbnail
    View/Open
    Loomis_thesis.pdf (23.56Mb)
    Date
    2011-06
    Author
    Loomis, Nicholas C.  Concept link
    Metadata
    Show full item record
    Citable URI
    https://hdl.handle.net/1912/4752
    DOI
    10.1575/1912/4752
    Keyword
     Content-based image retrieval; Distance geometry; Knorr (Ship : 1970-) Cruise KN182-15b 
    Abstract
    Sampling the vast volumes of the ocean requires tools capable of observing from a distance while retaining detail necessary for biology and ecology, ideal for optical methods. Algorithms that work with existing SeaBED AUV imagery are developed, including habitat classi fication with bag-of-words models and multi-stage boosting for rock sh detection. Methods for extracting images of sh from videos of longline operations are demonstrated. A prototype digital holographic imaging device is designed and tested for quantitative in situ microscale imaging. Theory to support the device is developed, including particle noise and the effects of motion. A Wigner-domain model provides optimal settings and optical limits for spherical and planar holographic references. Algorithms to extract the information from real-world digital holograms are created. Focus metrics are discussed, including a novel focus detector using local Zernike moments. Two methods for estimating lateral positions of objects in holograms without reconstruction are presented by extending a summation kernel to spherical references and using a local frequency signature from a Riesz transform. A new metric for quickly estimating object depths without reconstruction is proposed and tested. An example application, quantifying oil droplet size distributions in an underwater plume, demonstrates the efficacy of the prototype and algorithms.
    Description
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution June 2011
    Collections
    • Applied Ocean Physics and Engineering (AOP&E)
    • WHOI Theses
    Suggested Citation
    Thesis: Loomis, Nicholas C., "Computational imaging and automated identification for aqueous environments", 2011-06, DOI:10.1575/1912/4752, https://hdl.handle.net/1912/4752
     

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Seasonal oscillations in a mid-latitude ocean with barriers to deep flow 

      Firing, Eric (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1978-08)
      A two-layer linear analytic model is used to study the response of the mid-latitude ocean to the seasonal variation of the windstress. The most important component of the response is a barotropic quasi-steady Sverdrup ...
    • Thumbnail

      Geoacoustic inversion by mode amplitude perturbation 

      Poole, Travis L. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2007-02)
      This thesis introduces an algorithm for inverting for the geoacoustic properties of the seafloor in shallow water. The input data required by the algorithm are estimates of the amplitudes of the normal modes excited by ...
    • Thumbnail

      Emulating the fast-start swimming performance of the chain pickerel (Esox niger) using a mechanical fish design 

      Watts, Matthew Nicholas (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2006-09)
      Mean maximum start-up accelerations and velocities achieved by the fast-start specialist, northern pike, are reported at 120 ms-2 and 4 ms-1, respectively (Harper and Blake, 1990). In this thesis, a simple mechanical system ...
    All Items in WHOAS are protected by original copyright, with all rights reserved, unless otherwise indicated. WHOAS also supports the use of the Creative Commons licenses for original content.
    A service of the MBLWHOI Library | About WHOAS
    Contact Us | Send Feedback | Privacy Policy
    Core Trust Logo