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Investigation of computational probl...

Cole, Kevin.

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Investigation of computational problem area detection on earthen spillways across varying image resolutions.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Investigation of computational problem area detection on earthen spillways across varying image resolutions./
Author:	Cole, Kevin.
Description:	69 p.
Notes:	Source: Masters Abstracts International, Volume: 49-01, page: 0485.
Contained By:	Masters Abstracts International49-01.
Subject:	Agriculture, Soil Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1480973
ISBN:	9781124210582

Investigation of computational problem area detection on earthen spillways across varying image resolutions.
Cole, Kevin.

Investigation of computational problem area detection on earthen spillways across varying image resolutions. - 69 p.

Source: Masters Abstracts International, Volume: 49-01, page: 0485.

Thesis (M.S.)--Oklahoma State University, 2010.

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.

ISBN: 9781124210582Subjects--Topical Terms:

1017824
Agriculture, Soil Science.

Investigation of computational problem area detection on earthen spillways across varying image resolutions.
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020 $a 9781124210582
035 $a (UMI)AAI1480973
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040 $a UMI $c UMI
100 1 $a Cole, Kevin. $3 1683027
245 1 0 $a Investigation of computational problem area detection on earthen spillways across varying image resolutions.
300 $a 69 p.
500 $a Source: Masters Abstracts International, Volume: 49-01, page: 0485.
500 $a Adviser: Douglas R. Heisterkamp.
502 $a Thesis (M.S.)--Oklahoma State University, 2010.
520 $a 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.
590 $a School code: 0664.
650 4 $a Agriculture, Soil Science. $3 1017824
650 4 $a Natural Resource Management. $3 676989
650 4 $a Computer Science. $3 626642
690 $a 0481
690 $a 0528
690 $a 0984
710 2 $a Oklahoma State University. $b Computer Science. $3 1018596
773 0 $t Masters Abstracts International $g 49-01.
790 1 0 $a Heisterkamp, Douglas R., $e advisor
790 1 0 $a Hanson, Gregory J. $e committee member
790 1 0 $a Mayfield, Blayne E. $e committee member
790 1 0 $a Chandler, John P. $e committee member
790 $a 0664
791 $a M.S.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1480973