Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Morphological bidirectional associative memories
Neural Networks
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Generalizing Operations of Binary Autoassociative Morphological Memories Using Fuzzy Set Theory
Journal of Mathematical Imaging and Vision
Reconstruction of Patterns from Noisy Inputs Using Morphological Associative Memories
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision
Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications (Studies in Computational Intelligence)
Morphological neural networks and vision based simultaneous localization and mapping
Integrated Computer-Aided Engineering - Artificial Neural Networks
Computational Intelligence for Remote Sensing
Computational Intelligence for Remote Sensing
Morphological associative memories
IEEE Transactions on Neural Networks
Lattice algebra approach to single-neuron computation
IEEE Transactions on Neural Networks
Lattice Independent Component Analysis for fMRI Analysis
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
A lattice computing approach for on-line fMRI analysis
Image and Vision Computing
Information Sciences: an International Journal
Permutation-based finite implicative fuzzy associative memories
Information Sciences: an International Journal
Information Sciences: an International Journal
FL-GrCCA: A granular computing classification algorithm based on fuzzy lattices
Computers & Mathematics with Applications
A lattice matrix method for hyperspectral image unmixing
Information Sciences: an International Journal
Lattice independent component analysis for functional magnetic resonance imaging
Information Sciences: an International Journal
High resolution segmentation of csf on phase contrast MRI
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Exploration of LICA detections in resting state fMRI
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Experiments on lattice independent component analysis for face recognition
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Computers in Biology and Medicine
On the use of a hybrid approach to contrast endmember induction algorithms
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Lattice independent component analysis for mobile robot localization
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Granular fuzzy inference system (FIS) design by lattice computing
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
A comparison of VBM results by SPM, ICA and LICA
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
An endmember-based distance for content based hyperspectral image retrieval
Pattern Recognition
A hybrid gradient for n-dimensional images through hyperspherical coordinates
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Hybrid computational methods for hyperspectral image analysis
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Quantale-based autoassociative memories with an application to the storage of color images
Pattern Recognition Letters
Hyperspectral image segmentation through evolved cellular automata
Pattern Recognition Letters
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Endmembers for the spectral unmixing analysis of hyperspectral images are sets of affinely independent vectors, which define a convex polytope covering the data points that represent the pixel image spectra. Strong lattice independence (SLI) is a property defined in the context of lattice associative memories convergence analysis. Recent results show that SLI implies affine independence, confirming the value of lattice associative memories for the study of endmember induction algorithms. In fact, SLI vector sets can be easily deduced from the vectors composing the lattice auto-associative memories (LAM). However, the number of candidate endmembers found by this algorithm is very large, so that some selection algorithm is needed to obtain the full benefits of the approach. In this paper we explore the unsupervised segmentation of hyperspectral images based on the abundance images computed, first, by an endmember selection algorithm and, second, by a previously proposed heuristically defined algorithm. We find their results comparable on a qualitative basis.