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dc.contributor.advisorWood, H. C.
dc.contributor.advisorBalachandar, R.
dc.creatorSathish, Ankamuthu
dc.date.accessioned2019-01-23T17:38:47Z
dc.date.available2019-01-23T17:38:47Z
dc.date.issued1998-10
dc.date.submittedOctober 1998en_US
dc.identifier.urihttp://hdl.handle.net/10388/11787
dc.description.abstractThe present study aims at developing a practical method of video image analysis for evaluating depth of scour in three-dimensional flow fields. The method used a stereoscopy scheme which involves acquiring two images of the scene with two different viewpoints. The stereoscopy scheme involved the use of an epipolar constraint and a relaxation technique to obtain corresponding points in the two images. In the relaxation technique, the edges obtained by standard edge detectors were used as features to determine the match. A correlation technique was developed to eliminate false matches. The scheme was first applied to grayscale images. In the next stage, the three important components of color namely Hue, Saturation and Intensity were taken into consideration, and adopted in the stereoscopy scheme. The depth of scour was determined using the parallax between the matched points.en_US
dc.titleCOMPUTATIONAL COLOR STEREOVISIONen_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineElectrical Engineeringen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.genreThesisen_US


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