Binary image 2D shape learning and recognition based on lattice-computing (LC) techniques
DOI10.1007/s10851-011-0301-3zbMath1255.68155OpenAlexW2167922063MaRDI QIDQ1932901
Vassilis G. Kaburlasos, Angelos Amanatiadis, S. E. Papadakis
Publication date: 22 January 2013
Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10851-011-0301-3
pattern recognitionlearninginterval numberinclusion measureSigmoid functiongranular datalattice computing2D shape representationfuzzy lattice reasoning
Pattern recognition, speech recognition (68T10) Reasoning under uncertainty in the context of artificial intelligence (68T37)
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- Morphological perceptrons with competitive learning: lattice-theoretical framework and constructive learning algorithm
- On the role of complete lattices in mathematical morphology: from tool to uncertainty model
- Lattices of fuzzy sets and bipolar fuzzy sets, and mathematical morphology
- Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning
- Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs)
- FL-GrCCA: a granular computing classification algorithm based on fuzzy lattices
- Why mathematical morphology needs complete lattices
- A general framework for fuzzy morphological associative memories
- On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering
- Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
- Structure identification of fuzzy model
- The concept of a linguistic variable and its application to approximate reasoning. I
- A theoretical tour of connectivity in image processing and analysis
- Lattice-valued logic. An alternative approach to treat fuzziness and incomparability
- Generalizing operations of binary autoassociative morphological memories using fuzzy set theory
- Grey-scale morphology based on fuzzy logic
- Shape connectivity: Multiscale analysis and application to generalized granulometries
- Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of \(\mathbb{L}\)-fuzzy mathematical morphology
- Spatial reasoning under imprecision using fuzzy set theory, formal logics and mathematical morphology
- Towards a unified modeling and knowledge-representation based on lattice theory. Computational intelligence and soft computing applications
- Granular self-organizing map (grSOM) for structure identification
- Lattice image processing: a unification of morphological and fuzzy algebraic systems
- From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions
- Centroid of a type-2-fuzzy set
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