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dc.contributor.authorKaza, Sivapriya
dc.date.accessioned2014-03-20T04:30:14Z
dc.date.available2014-03-20T04:30:14Z
dc.date.issued2012-12
dc.identifier.otherkaza_sivapriya_201212_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/kaza_sivapriya_201212_ms
dc.identifier.urihttp://hdl.handle.net/10724/29635
dc.description.abstractThe presence of benthic macrofauna affects many sediment characteristics, including the structure of the sediment matrix and the transport of dissolved chemical constituents and their exchange between the benthos and the overlying water. To quantify the advective flow in the subsurface induced by benthic macrofauna as a series of high-resolution images from an experiment with an acrylic antfarm were used, where the fluorescent tracer fluorescein was added and its distribution in the sediment – caused by pumping of the arenicolid worm - was captured. Horn-Schunck, Lucas-Kanade, Cross-Correlation + Lucas-Kanade and Edge tracking methods are used to obtain the optical flow from sequence of images. The optical flow directions and magnitude obtained using the above methods are compared to the flow direction magnitude reported in literature.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectHorn-Schunck, Lucas-Kanade, edge tracking, Bio-irrigation, advection
dc.titleQuantification of bioirrigation using image analysis
dc.typeThesis
dc.description.degreeMS
dc.description.departmentArtificial Intelligence Center
dc.description.majorArtificial Intelligence
dc.description.advisorSuchendra M. Bhandarkar
dc.description.committeeSuchendra M. Bhandarkar
dc.description.committeeDon Potter
dc.description.committeeChristof Meile


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