Data fusion in robotics and machine intelligence
Data fusion in robotics and machine intelligence
Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Multisensor integration and fusion for intelligent machines and systems
Multisensor integration and fusion for intelligent machines and systems
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
A New Paradigm for Fuzzy Aggregation in Multisensorial Image Processing
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
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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.