Paper Info
Title
A fuzzy approach for texture contrast modelling
Abstract
In this paper, we propose to model the contrast of visual texture by means of a perceptual-based fuzzy approach. For this modelling, fuzzy sets defined on the domain of some of the most representative measures of the contrast property are employed. In order to obtain these fuzzy sets, a functional relationship between the computational values given by the measures and the human perception of contrast is learned. The goodness of each model is analyzed and tested with the human assessments, allowing us to identify the most suitable one to represent the contrast of visual texture. Finally, several experiments are performed in order to show the application of the proposed fuzzy model for pattern recognition.
Year
DOI
Venue
2014
10.1109/FUZZ-IEEE.2014.6891661
Fuzzy Systems
Keywords
Field
DocType
fuzzy set theory,image recognition,image texture,contrast human perception,contrast property,fuzzy model,fuzzy sets,human assessment,pattern recognition,perceptual-based fuzzy approach,visual texture contrast modelling
Data mining,Fuzzy model,Neuro-fuzzy,Fuzzy classification,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy associative matrix,Perception,Machine learning
Conference
ISSN
Citations 
PageRank 
1544-5615
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Jesús Chamorro-Martínez16714.73
P. Martínez-Jiménez2124.82
José Manuel Soto-Hidalgo3206.04
Daniel Sánchez412415.47
Chamorro-Martinez, J.500.34
Martinez-Jimenez, P.611.04
Soto-Hidalgo, J.M.701.35