Parsing Intensity Profiles

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5796

Full metadata record

DC Field	Value	Language
dc.creator	Lozano-Perez, Tomas	-
dc.date	2004-10-01T20:37:20Z	-
dc.date	2004-10-01T20:37:20Z	-
dc.date	1975-05-01	-
dc.date.accessioned	2013-10-09T02:41:20Z	-
dc.date.available	2013-10-09T02:41:20Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-329	-
dc.identifier	http://hdl.handle.net/1721.1/5796	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Much low-level vision work in AI deals with one-dimensional intensity profiles. This paper describes PROPAR, a system that allows a convenient and uniform mechanism for recognizin such profiles. PROPAR is a modified Augmented Transition Networks parser. The grammar used by the parser serves to describe and label the set of acceptable profiles. The input to the parser are descriptions of segments of a piecewise linear approximation to an intensity profile. A sample grammar is presented and the results discussed.	-
dc.format	25 p.	-
dc.format	2058828 bytes	-
dc.format	1501433 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-329	-
dc.title	Parsing Intensity Profiles	-
Appears in Collections:	MIT Items

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