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dc.contributor.advisorHeisterkamp, Douglas R.
dc.contributor.authorCole, Kevin
dc.date.accessioned2014-04-15T18:31:00Z
dc.date.available2014-04-15T18:31:00Z
dc.date.issued2010-07-01
dc.identifier.urihttps://hdl.handle.net/11244/8139
dc.description.abstractThis thesis work investigates the ability of segmentation algorithms to segment vegetal problem areas in aerial images of earthen spillways. Four different segmentation algorithms were applied to aerial images of spillways that were resized to 8 different resolutions. Segmentation results from each algorithm and spillway resolution were analyzed on the basis of the percentage of pixels segmented for each problem area using a manually segmented image as a ground truth for comparison.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleInvestigation of Computational Problem Area Detection on Earthen Spillways Across Varying Image Resolutions
dc.typetext
dc.contributor.committeeMemberHanson, Gregory J.
dc.contributor.committeeMemberMayfield, Blayne E.
dc.contributor.committeeMemberChandler, John P.
osu.filenameCole_okstate_0664M_11071.pdf
osu.collegeArts and Sciences
osu.accesstypeOpen Access
dc.description.departmentComputer Science Department
dc.type.genreThesis
dc.subject.keywordssegmentation


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