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Multi-Scale Vector-Ridge-Detection for Perceptual Organization Without Edges

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dc.creator Subirana-Vilanova, J. Brian
dc.creator Sung, Kah Kay
dc.date 2004-10-08T20:28:55Z
dc.date 2004-10-08T20:28:55Z
dc.date 1992-12-01
dc.date.accessioned 2013-10-09T02:46:06Z
dc.date.available 2013-10-09T02:46:06Z
dc.date.issued 2013-10-09
dc.identifier AIM-1318
dc.identifier http://hdl.handle.net/1721.1/6578
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description We present a novel ridge detector that finds ridges on vector fields. It is designed to automatically find the right scale of a ridge even in the presence of noise, multiple steps and narrow valleys. One of the key features of such ridge detector is that it has a zero response at discontinuities. The ridge detector can be applied to scalar and vector quantities such as color. We also present a parallel perceptual organization scheme based on such ridge detector that works without edges; in addition to perceptual groups, the scheme computes potential focus of attention points at which to direct future processing. The relation to human perception and several theoretical findings supporting the scheme are presented. We also show results of a Connection Machine implementation of the scheme for perceptual organization (without edges) using color.
dc.format 744009 bytes
dc.format 1007931 bytes
dc.format application/octet-stream
dc.format application/pdf
dc.language en_US
dc.relation AIM-1318
dc.title Multi-Scale Vector-Ridge-Detection for Perceptual Organization Without Edges


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