Value approximation of fuzzy systems variables
Fuzzy Sets and Systems
Artificial Intelligence
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Vision engineering: designing computer vision systems
Handbook of pattern recognition & computer vision
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Fuzzy evolutionary computation
Fuzzy evolutionary computation
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Soft Computing and Intelligent Systems: Theory and Applications
Soft Computing and Intelligent Systems: Theory and Applications
Fuzzy Sets, Neural Networks and Soft Computing
Fuzzy Sets, Neural Networks and Soft Computing
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
Granular computing: an emerging paradigm
Granular computing: an emerging paradigm
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Toward a theory of validation of hybrid minmax FuzzyNeuro systems
MMACTEE'08 Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
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We propose a novel unifying framework for building a novel granular modular architecture for a machine visual system that accommodates a large spectrum of potential vision problems. Thus removing the ad hoc nature of present solutions and providing the basis for new generation of machine visual systems. Such a framework works by integrating some useful concepts from the human vision processes and adding some interesting granular functionalities of human cognition and it advocates further hybridisation of non-linear digital filters and soft computing in implementing such machine intelligent visual systems. Our focus herein will be on the low level and mid-level stages of such a framework. The goal is to build an automatic system that can be used for degraded multi-modal image processing, including x-rays, MRI, Sonar, etc. for diagnosis, recognition, registration and information fusion purposes. For illustration purposes, an investigation concerning its application to a real world problem is also provided. We are interested by an application to automatic detection and classification of patients| spines affected by idiopathic scoliosis from X-rays images.