Loading…

QR Code

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

In this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra-dient technique. The second method combines the general type-2 fuzzy systems (GT2 FSs) and the Sobel operator; in the third approach the me-thodology based on Sob...

Full description

Bibliographic Details
Main Authors:	Gonzalez, Claudia I. (Author), Melin, Patricia (Author), Castro, Juan R. (Author), Castillo, Oscar (Author)
Corporate Author:	SpringerLink (Online service)
Format:	e-Book
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:	1st ed. 2017.
Series:	SpringerBriefs in Computational Intelligence,
Subjects:	Computational intelligence. Artificial intelligence. Pattern recognition systems. Computational Intelligence. Artificial Intelligence. Automated Pattern Recognition.
Online Access:	Full-text access View in OPAC

Similar Items

Type-2 Fuzzy Logic and Systems Dedicated to Professor Jerry Mendel for his Pioneering Contribution /
Published: (2018)

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)
Published: (2018)

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015
Published: (2016)

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017
Published: (2018)

Computational Intelligence for Pattern Recognition
Published: (2018)

Recent Advances in Ensembles for Feature Selection
by: Bolón-Canedo, Verónica, et al.
Published: (2018)

Machine Learning Paradigms: Theory and Application
Published: (2019)

Optical Character Recognition Systems for Different Languages with Soft Computing
by: Chaudhuri, Arindam, et al.
Published: (2017)

Advances in Feature Selection for Data and Pattern Recognition
Published: (2018)

Smart Techniques for a Smarter Planet Towards Smarter Algorithms /
Published: (2019)

Issues in the Use of Neural Networks in Information Retrieval
by: Iatan, Iuliana F.
Published: (2017)

Multimodal Computational Attention for Scene Understanding and Robotics
by: Schauerte, Boris
Published: (2016)

Gesture Recognition Principles, Techniques and Applications /
by: Konar, Amit, et al.
Published: (2018)

Machine Learning Paradigms Advances in Data Analytics /
Published: (2019)

Grammatical Inference Algorithms, Routines and Applications /
by: Wieczorek, Wojciech
Published: (2017)

Unsupervised Learning Algorithms
Published: (2016)

Network Slicing for 5G and Beyond Networks
by: Kazmi, S. M. Ahsan, et al.
Published: (2019)

Identifying Patterns in Financial Markets New Approach Combining Rules Between PIPs and SAX /
by: Leitão, João, et al.
Published: (2018)

From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
by: Grekow, Jacek
Published: (2018)

Neural Representations of Natural Language
by: White, Lyndon, et al.
Published: (2019)

Proceedings of International Conference on Cognition and Recognition ICCR 2016 /
Published: (2018)

From Global to Local Statistical Shape Priors Novel Methods to Obtain Accurate Reconstruction Results with a Limited Amount of Training Shapes /
by: Last, Carsten
Published: (2017)

NEO 2016 Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico /
Published: (2018)

Recent Advances in Computer Vision Theories and Applications /
Published: (2019)

Type-2 Fuzzy Granular Models
by: Sanchez, Mauricio A., et al.
Published: (2017)

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
by: Amezcua, Jonathan, et al.
Published: (2018)

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
by: Olivas, Frumen, et al.
Published: (2018)

Natural Computing for Unsupervised Learning
Published: (2019)

Linking and Mining Heterogeneous and Multi-view Data
Published: (2019)

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
by: Kasabov, Nikola K.
Published: (2019)

Group Recommender Systems An Introduction /
by: Felfernig, Alexander, et al.
Published: (2018)

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
by: Soto, Jesus, et al.
Published: (2018)

Computational and Cognitive Neuroscience of Vision
Published: (2017)

Geometric Algebra Applications Vol. I Computer Vision, Graphics and Neurocomputing /
by: Bayro-Corrochano, Eduardo
Published: (2019)

Clustering Methods for Big Data Analytics Techniques, Toolboxes and Applications /
Published: (2019)

Empirical Approach to Machine Learning
by: Angelov, Plamen P., et al.
Published: (2019)

Advances in Principal Component Analysis Research and Development /
Published: (2018)

New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
by: Gaxiola, Fernando, et al.
Published: (2016)

Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers
by: Cervantes, Leticia, et al.
Published: (2016)

NEO 2015 Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico /
Published: (2017)