Paper Info
Title
Defining A Fuzzy Partition For Coarseness Modelling In Texture Images
Abstract
In this paper, the texture feature "coarseness" is modelled by means of a fuzzy partition on the domain of coarseness measures. The number of linguistic labels to be used, and the parameters of the membership functions associated to each fuzzy set are calculated relating representative coarseness measures (our reference set) with the human perception of this texture property. A wide variety of measures is studied, analyzing its capability to discriminate different coarseness categories. Data about the human perception of fineness is collected by means of a pools, performing an aggregation of their assessments by means of OWA operators. This information is used to obtain a fuzzy partition adapted to the human perception of coarseness-fineness
Year
Venue
Keywords
2009
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE
Coarseness, fineness, fuzzy partition, fuzzy texture, image features, texture features
Field
DocType
Citations 
Fuzzy partition,Pattern recognition,Fuzzy set,Operator (computer programming),Artificial intelligence,Perception,Mathematics
Conference
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Jesús Chamorro-Martínez16714.73
P. Martínez-Jiménez2124.82
J. M. Soto-Hidalgo3332.49