Expert systems and fuzzy systems
Expert systems and fuzzy systems
Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Computer Vision, Graphics, and Image Processing
Features selection and `possibility theory'
Pattern Recognition
Threshold Superposition in Morphological Image Analysis Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning under incomplete information in artificial intelligence: a comparison of formalisms using a single example
A fuzzy medial axis transformation based on fuzzy disks
Pattern Recognition Letters
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Fuzzy Sets and Systems - Special issue: fuzzy sets and management science
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Idempotent closing and opening operations in fuzzy mathematical morphology
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
On Edge Detection of X-Ray Images Using Fuzzy Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Clustering Performance Measure Based on Fuzzy Set Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. For example, it can be used to introduce flexibility in artificial systems to improve their Intelligent Quotient. The aim of this paper is to describe the applicability of soft-computing to artificial vision problems. Good performance of this approach is assured by the fact that digital images are examples of fuzzy entities, where shapes are not always describable by exact equations and their approximation can be very complex.