Editors:
- Presents new approaches in intelligent control
- Describes corresponding methods, original algorithms and applications
- Presents techniques for solving particular tasks involving intelligent control
- Targeted at researchers interested in new and non-conventional approaches in contemporary intelligent process control
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 108)
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Table of contents (11 chapters)
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Front Matter
About this book
- Methods for Hierarchical Image Decomposition;
- Intelligent Digital Signal Processing and Feature Extraction;
- Data Clustering and Visualization via Echo State Networks;
- Clustering of Natural Images in Automatic Image Annotation Systems;
- Control System for Remote Sensing Image Processing;
- Tissue Segmentation of MR Brain Images Sequence;
- Kidney Cysts Segmentation in CT Images;
- Audio Visual Attention Models in Mobile Robots Navigation;
- Local Adaptive Image Processing;
- Learning Techniques for Intelligent Access Control;
- Resolution Improvement in Acoustic Maps.
Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.
Editors and Affiliations
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Technical University of Sofia, Sofia, Bulgaria
Roumen Kountchev
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University of Hyogo, Chuo-ku, Japan
Kazumi Nakamatsu
Bibliographic Information
Book Title: New Approaches in Intelligent Image Analysis
Book Subtitle: Techniques, Methodologies and Applications
Editors: Roumen Kountchev, Kazumi Nakamatsu
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-32192-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-32190-5Published: 27 May 2016
Softcover ISBN: 978-3-319-81219-9Published: 30 May 2018
eBook ISBN: 978-3-319-32192-9Published: 19 May 2016
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XX, 373
Number of Illustrations: 38 b/w illustrations, 119 illustrations in colour
Topics: Computational Intelligence, Control and Systems Theory, Artificial Intelligence, Systems Theory, Control