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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Fuzzy Sets and Syste...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Fuzzy Sets and Systems
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2007
Data sources: DBLP
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Fuzzy Texture Unit and Fuzzy Texture Spectrum for texture characterization

Authors: Aina Barcelo; Eduard Montseny; Pilar Sobrevilla;

Fuzzy Texture Unit and Fuzzy Texture Spectrum for texture characterization

Abstract

An important problem that is necessary to face up to in texture characterization is that while the notion of texture is easy to grasp intuitively, it is extremely difficult to quantify. The Texture Spectrum methodology introduced by He and Wang [1990, Texture unit, texture spectrum and texture analysis, IEEE Trans. on Geoscience and Remote Sensing, 28(4) (1990) 509-512] was initially used as a texture filtering approach and has been applied to texture characterization and texture classification showing promising discrimination performance. In this paper we propose a texture characterization approach, based on the Texture Spectrum methodology that, for taking into account the vagueness introduced by noise and the different caption and digitation processes, makes use of fuzzy techniques for defining the Texture Unit Boxes.

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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!
22
Average
Top 10%
Top 10%
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