CARTOON: A Biologically Motivated Edge Detection Algorithm

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5681

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DC Field	Value	Language
dc.creator	Richards, W.	-
dc.creator	Nishihara, H.K.	-
dc.creator	Dawson, B.	-
dc.date	2004-10-01T20:30:52Z	-
dc.date	2004-10-01T20:30:52Z	-
dc.date	1982-06-01	-
dc.date.accessioned	2013-10-09T02:40:47Z	-
dc.date.available	2013-10-09T02:40:47Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-668	-
dc.identifier	http://hdl.handle.net/1721.1/5681	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Caricatures demonstrate that only a few significant "edges" need to be captured to convey the meaning of a complex pattern of image intensities. The most important of these "edges" are image intensity changes arising from surface discontinuities or occluding boundaries. The CARTOON algorithm is an attempt to locate these special intensity changes using a modification of the zero-crossing coincidence scheme suggested by Marr and Hildreth (1980).	-
dc.format	24 p.	-
dc.format	10563426 bytes	-
dc.format	7455603 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-668	-
dc.title	CARTOON: A Biologically Motivated Edge Detection Algorithm	-
Appears in Collections:	MIT Items

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