New Approaches in Intelligent Image Analysis: Techniques, Methodologies and Applications: 108 - Rilegato

Rilegato

ISBN 10: 3319321900 ISBN 13: 9783319321905

Casa editrice: Springer-Nature New York Inc, 2016

Riassunto

This book presents an Introduction and 11 independent chapters, whichare devoted to various new approaches of intelligent image processing andanalysis. The book also presents new methods, algorithms and applied systemsfor intelligent image processing, on the following basic topics:

• 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.

Su questo libro

Dalla quarta di copertina

This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics:

• 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.

Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319321900
• ISBN 13: 9783319321905
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 373
• Redattore: Kountchev Roumen, Nakamatsu Kazumi
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania