Three Dimensional Edge Detection Using Wavelet and Shearlet Analysis

dc.contributor.advisor	O'Leary, Dianne P	en_US
dc.contributor.advisor	Easley, Glenn R	en_US
dc.contributor.author	Schug, David Albert	en_US
dc.contributor.department	Applied Mathematics and Scientific Computation	en_US
dc.contributor.publisher	Digital Repository at the University of Maryland	en_US
dc.contributor.publisher	University of Maryland (College Park, Md.)	en_US
dc.date.accessioned	2013-02-07T06:56:02Z
dc.date.available	2013-02-07T06:56:02Z
dc.date.issued	2012	en_US
dc.description.abstract	Edge detection determines the boundary of objects in an image. A sequence of images records a 2D representation of a scene changing over time, giving 3D data. New 3D edge detectors, particularly ones we developed using shearlets and hybrid shearlet-Canny algorithms, identify edges of complicated objects much more reliably than standard approaches, especially under high noise conditions. We also use edge information to track the position and velocity of objects using an optimization algorithm.	en_US
dc.identifier.uri	http://hdl.handle.net/1903/13621
dc.subject.pqcontrolled	Applied mathematics	en_US
dc.subject.pqcontrolled	Electrical engineering	en_US
dc.subject.pqcontrolled	Computer science	en_US
dc.subject.pquncontrolled	edge detection	en_US
dc.subject.pquncontrolled	shearlets	en_US
dc.subject.pquncontrolled	tracking	en_US
dc.subject.pquncontrolled	wavelets	en_US
dc.title	Three Dimensional Edge Detection Using Wavelet and Shearlet Analysis	en_US
dc.type	Dissertation	en_US

Files

Now showing 1 - 1 of 1