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Conference object . 2002
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https://doi.org/10.1109/sibgra...
Article . 2003 . Peer-reviewed
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https://dx.doi.org/10.1109/sib...
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Image segmentation by analysis of scale-space

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 25 Jun 2003Publisher:IEEE Comput. SocJournal:Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing
Authors: Garcia de Carvalho, Marco António; Couprie, Michel; de Alencar Lotufo, Roberto;

doi: 10.1109/sibgra.2002.1167175

Image segmentation by analysis of scale-space

Abstract

We present a technique in image segmentation based on a hierarchical analysis of scale-space. The image hierarchy is a tree of critical lakes and provides a set of nested partitions. We analyze the scale-space from fine to coarse levels according to specific attributes.

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Keywords

[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]

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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!
3
Average
Average
Average
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