Pattern recognition: human and mechanical
Pattern recognition: human and mechanical
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Classification by fuzzy integral: performance and tests
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Advances in fuzzy integration for pattern recognition
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Optimal sensor and light source positioning for machine vision
Computer Vision and Image Understanding
Constructing fuzzy measures in expert systems
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
A genetic algorithm for determining nonadditive set functions in information fusion
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Intelligent Image Processing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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
The Amsterdam Library of Object Images
International Journal of Computer Vision
Identification of general fuzzy measures by genetic algorithmsbased on partial information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The selection of a suitable illumination subsystem is seldom practicable in the automated visual inspection of highly reflective surfaces. The paper presents an algorithmical approach in the form of a framework for enhancing images of objects with such surfaces. This framework is based on the application of so-called Intelligent Localized Fusion Operators (ILFOs), whose formalization is herein undertaken for the first time. Furthermore the guidelines for its implementation are given and different aspects of the resulting pre-processing system are systematically analyzed. The framework successfully performs in the automated visual inspection of different objects presenting highly reflective surfaces, namely headlamp reflectors, plastic bundled packages, and electric bulbs.