Paper Info
Title
A Fuzzy Approach For Retrieving Images In Databases Using Dominant Color And Texture Descriptors
Abstract
In this paper, a fuzzy approach for image retrieval on the basis of color and texture features is presented. For this purpose, two new descriptors "Fuzzy Dominant Color Descriptor" and "Fuzzy Dominant Texture Descriptor" are proposed. Each descriptor will be defined as a fuzzy set over a finite universe of color/texture fuzzy sets (with membership degrees according to its dominance degrees). The color/texture fuzzy sets are defined taking into account the relationship between the computational feature and its human perception. In addition, fuzzy operators over the new descriptors are proposed to define conditions in image retrieval queries. The proposed framework makes database systems able to answer queries using color-based and texture-based linguistic labels in natural language.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584124
2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010)
Keywords
Field
DocType
image texture,feature extraction,natural language,database system,silicon,histograms,pragmatics,color,image retrieval,fuzzy set theory,fuzzy sets,human perception,fuzzy set
Histogram,Fuzzy classification,Computer science,Image retrieval,Fuzzy set,Artificial intelligence,Computer vision,Texture Descriptor,Pattern recognition,Image texture,Fuzzy logic,Feature extraction,Database
Conference
ISSN
Citations 
PageRank 
1098-7584
3
0.37
References 
Authors
8
3
Name
Order
Citations
PageRank
Jesús Chamorro-Martínez16714.73
Pedro Manuel Martínez-Jiménez2205.73
José Manuel Soto-Hidalgo3206.04