Paper Info
Title
Applications of the ILF Paradigm in Image Processing
Abstract
This paper describes some applications of the recently introduced Intelligent Localized Fusion (ILF) paradigm in multisensorial computer vision systems. The paradigm is based on a new interpretation of the fuzzy integral as fusion operator in image processing and thus related to Soft-Computing methodologies. The application of the paradigm for color edge detection in outdoor scenes and for preprocessing in automated visual inspection of high reflective materials is described. While in the first application the usage of the paradigm allows the avoidance of false edges caused by shadows, it succeeds suppressing the annoying highlights in the second one.
Year
DOI
Venue
2002
10.1007/3-540-45631-7_51
AFSS
Keywords
Field
DocType
ilf paradigm,intelligent localized fusion,automated visual inspection,image processing,high reflective material,false edge,color edge detection,annoying highlight,soft-computing methodology,fusion operator,multisensorial computer vision system,edge detection,computer vision,soft computing
Computer vision,Edge detection,Computer science,Fuzzy logic,Unmanned ground vehicle,Image processing,Sensor fusion,Preprocessor,Artificial intelligence,Visual control,Color image
Conference
ISBN
Citations 
PageRank 
3-540-43150-0
0
0.34
References 
Authors
7
1
Name
Order
Citations
PageRank
Aureli Soria-Frisch18311.13