dc.contributor.advisor | Heisterkamp, Douglas R. | |
dc.contributor.author | Cole, Kevin | |
dc.date.accessioned | 2014-04-15T18:31:00Z | |
dc.date.available | 2014-04-15T18:31:00Z | |
dc.date.issued | 2010-07-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/8139 | |
dc.description.abstract | This 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.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright 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.title | Investigation of Computational Problem Area Detection on Earthen Spillways Across Varying Image Resolutions | |
dc.type | text | |
dc.contributor.committeeMember | Hanson, Gregory J. | |
dc.contributor.committeeMember | Mayfield, Blayne E. | |
dc.contributor.committeeMember | Chandler, John P. | |
osu.filename | Cole_okstate_0664M_11071.pdf | |
osu.college | Arts and Sciences | |
osu.accesstype | Open Access | |
dc.description.department | Computer Science Department | |
dc.type.genre | Thesis | |
dc.subject.keywords | segmentation | |