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Multi-Scale Salience Distance Transforms

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 1993Publisher:British Machine Vision AssociationJournal:Procedings of the British Machine Vision Conference 1993
Authors: Paul L. Rosin; Geoff A. W. West;

doi: 10.5244/c.7.58

Multi-Scale Salience Distance Transforms

Abstract

The distance transform has been proposed for use in computer vision for a number of applications such as matching and skeletonisation. This paper proposes two things: (1) a multi-scale distance transform to overcome the need to choose edge thresholds and scale and (2) the addition of various saliency factors such as edge strength, length and curvature to the basic distance transform to improve its effectiveness. Results are presented for applications of matching and snake fitting.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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