The application of edge detection and edge tracking algorithms to the determination of tree ring properties

dc.contributor.author	Kalynuk, Sean	en_US
dc.date.accessioned	2014-11-25T21:20:23Z
dc.date.available	2014-11-25T21:20:23Z
dc.date.issued	1993	en_US
dc.degree.discipline	Computer Science	en_US
dc.degree.level	Master of Science (M.Sc.)	en_US
dc.description.abstract	To assist in obtaining properties of the rings in a digital image of a tree cross section, edge detection can be employed. Various edge detection methods are tested on a sample tree cross section to determine which one can provide sufficient detection of the ring edges. Noise reduction and edge enhancement algorithms are examined for their usefulness in aiding the edge detection process. Algorithms for obtaining ring area, and a count of the number of rings, are presented. The computation of ring area is achieved by obtaining spline approximations to the rings. This is accomplished by using an edge tracking algorithm to track each individual ring. Three different methods of edge tracking are examined for this purpose. A case study on the sample cross section is provided to demonstrate the procedure for obtaining the spline approximations to the rings.	en_US
dc.format.extent	iv, 140 leaves :	en_US
dc.identifier	ocm00057582	en_US
dc.identifier.uri	http://hdl.handle.net/1993/29421
dc.language.iso	eng	en_US
dc.rights	open access	en_US
dc.title	The application of edge detection and edge tracking algorithms to the determination of tree ring properties	en_US
dc.type	master thesis	en_US

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