Finding Junctions Using the Image Gradient

dc.creator	Beymer, David J.
dc.date	2004-10-04T14:25:34Z
dc.date	2004-10-04T14:25:34Z
dc.date	1991-12-01
dc.date.accessioned	2013-10-09T02:42:19Z
dc.date.available	2013-10-09T02:42:19Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1266
dc.identifier	http://hdl.handle.net/1721.1/5991
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Junctions are the intersection points of three or more intensity surfaces in an image. An analysis of zero crossings and the gradient near junctions demonstrates that gradient-based edge detection schemes fragment edges at junctions. This fragmentation is caused by the intrinsic pairing of zero crossings and a destructive interference of edge gradients at junctions. Using the previous gradient analysis, we propose a junction detector that finds junctions in edge maps by following gradient ridges and using the minimum direction of saddle points in the gradient. The junction detector is demonstrated on real imagery and previous approaches to junction detection are discussed.
dc.format	46 p.
dc.format	4948418 bytes
dc.format	3522601 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1266
dc.subject	machine vision
dc.subject	edge detection
dc.subject	junction detection
dc.subject	zeroscrossings
dc.subject	feature extraction
dc.subject	image gradient
dc.title	Finding Junctions Using the Image Gradient

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