Algorithms and data structures for hierarchical image processing

dc.contributor.advisor	A., A.	en_US
dc.contributor.author	Tsanakas, Panagiotis D.	en_US
dc.date.accessioned	2008-07-08T17:29:03Z
dc.date.available	2008-07-08T17:29:03Z
dc.date.created	1985	en_US
dc.date.issued	2008-07-08T17:29:03Z
dc.identifier.uri	http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1184075678	en_US
dc.identifier.uri	http://hdl.handle.net/2374.OX/13922
dc.description	This Thesis discusses methods for solving problems associated with hierarchical image processing systems. In particular, the problems dealt here are the hierarchical image data structures, the progressive image transmission and the hierarchical edge detection. Original methods for alleviating certain problems associated with time and/or space requirements are proposed. Analytical evaluations of the proposed schemes are also presented along with comparisons with other relevant methods.	en_US
dc.format	application/pdf	en_US
dc.format	82p.	en_US
dc.rights	unrestricted	en_US
dc.rights	Copyright and permissions information available at the source archive	en_US
dc.subject	Algorithms	en_US
dc.subject	Data Structures	en_US
dc.subject	Hierarchical Image Processing	en_US
dc.title	Algorithms and data structures for hierarchical image processing	en_US
dc.type	Electronic Thesis or Dissertation	en_US
dc.degree.name	MS	en_US
dc.degree.level	masters	en_US
dc.degree.discipline	Electrical Engineering (Engineering)	en_US
dc.degree.grantor	Ohio University	en_US
dc.contributor.publisher	Ohio University / OhioLINK	en_US

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