Paper Info
Title
A New Paradigm for Fuzzy Aggregation in Multisensorial Image Processing
Abstract
This paper presents a new paradigm for image processing in multisensorial computer vision systems based on a new interpretation of the fuzzy integral as fusion operator. Fuzzy integrals offer great chances for the implementation of the fusion stage in multisensorial systems. By exploring these possibilities a new paradigm for image processing in the framework of information fusion in multisensorial systems can be established. This new paradigm, which can be designated as Intelligent Localized Fusion (ILF), is related to Soft-Computing methodologies and the object of this paper. The performance of intelligent localized fusion operators (ILFOs), which are developed under the new introduced paradigm, are exemplary shown in the case of color edge detection in outdoor scenes. Its usage allows in this case the avoidance of false edges due to the presence of shadows.
Year
DOI
Venue
2001
10.1007/3-540-45493-4_10
Fuzzy Days
Keywords
Field
DocType
multisensorial system,new paradigm,fusion operator,multisensorial computer vision system,fusion stage,intelligent localized fusion operator,fuzzy aggregation,image processing,new interpretation,fuzzy integral,information fusion,multisensorial image,computer vision,edge detection,soft computing
Computer vision,Edge detection,Computer science,Fuzzy logic,Image processing,Operator (computer programming),Artificial intelligence,Information fusion,Color image
Conference
Volume
ISSN
ISBN
2206
0302-9743
3-540-42732-5
Citations 
PageRank 
References 
4
0.43
8
Authors
1
Name
Order
Citations
PageRank
Aureli Soria-Frisch18311.13