Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
On the Computation of a Scale-Space Primal Sketch
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsbiologi, CB.ORCID-id: 0000-0002-9081-2170
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
1991 (engelsk)Inngår i: Journal of Visual Communication and Image Representation, ISSN 1047-3203, E-ISSN 1095-9076, Vol. 2, nr 1, s. 55-78Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Scale-space theory provides a well-founded framework for dealing with image structures that naturally occur at different scales. According to this theory one can from a given signal derive a family of signals by successively removing features when moving from fine to coarse scale. In contrast to other multiscale representations, scale-space is based on a precise mathematical definition of causality, and the behavior of structure as scale changes can be analytically described. However, the information in the scale-space embedding is only implicit. There is no explicit representation of features or the relations between features at different levels of scale. In this paper we present a theory for constructing such an explicit representation on the basis of formal scale-space theory. We treat gray-level images, but the approach is valid for any bounded function, and can therefore be used to derive properties of, e.g., spatial derivatives. Hence it is useful for studying representations based on intensity discontinuities as well. The representation is obtained in a completely data-driven manner, without relying on any specific parameters. It gives a description of the image structure that is rather coarse. However, since significant scales and regions are actually determined from the data, our approach can be seen as preceding further processing, which can then be properly tuned. An important problem in deriving the representation concerns measuring structure in such a way that the significance over scale can be established. This problem and the problem of proper parameterization of scale are given a careful analysis. Experiments on real imagery demonstrate that the proposed theory gives perceptually intuitive results.

sted, utgiver, år, opplag, sider
1991. Vol. 2, nr 1, s. 55-78
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-58876DOI: 10.1016/1047-3203(91)90035-EOAI: oai:DiVA.org:kth-58876DiVA, id: diva2:474264
Merknad
NR 20140805Tilgjengelig fra: 2012-01-09 Laget: 2012-01-09 Sist oppdatert: 2018-01-12bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstAt authors' home page

Personposter BETA

Lindeberg, Tony

Søk i DiVA

Av forfatter/redaktør
Lindeberg, Tony
Av organisasjonen
I samme tidsskrift
Journal of Visual Communication and Image Representation

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 68 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf