New Approaches in Intelligent Image Analysis

Techniques, Methodologies and Applications
1. Auflage 2016
ISBN: 978-3-319-32190-5
Verlag: Springer International Publishing

Buch, Englisch, Band 108, 373 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 7155 g

Reihe: Intelligent Systems Reference Library

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.

Zielgruppe

Research

Autoren/Hrsg.

Nakamatsu, Kazumi

Kountchev, Roumen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

New Approaches in Intelligent Image Analysis- Techniques, Methodologies and Applications.- New Approaches for Hierarchical Image Decomposition, based on IDP, SVD, PCA and KPCA.- Intelligent Digital Signal Processing and Feature Extraction Methods.- Multi-Dimensional Data Clustering and Visualization via Echo State Networks.- Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems.- An Evolutionary Optimization Control System for Remote Sensing Image Processing.- Tissue Segmentation Methods using 2D Histogram Modification in a Sequence of MR Brain Images.- Multistage Approach for Simple Kidney Cysts Segmentation in CT Images.- Audio Visual Attention Models in Mobile Robots Navigation.- Local Adaptive Image Processing.- Learning Techniques for Intelligent Access Control.- Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps.