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  Contents
 
Chapter 1 Introduction
  General; Objectives; Research Aspects; Structure; Software Used.
 
Chapter 2 Fundamentals of Image Processing
 

Introduction; Basics of Digital Images; Digital Image Processing; Imaging Operations; Creating Digital Images; Thresholding and Truncating; The Fourier Transform; Two-Dimensional Filters; Feature Extraction; Nonlinear Filters; Image Compression; Pattern Recognition in Images; A Basic Automatic Detection Algorithm.

 
Chapter 3 Signals in Science and Medicine
 

Introduction; Signals in Science: Inverse Synthetic Aperture Radar (ISAR) Images; High-Resolution RCS Measurements; Effects of Aircraft Backscatter Mechanisms on ISAR Images; Dimensionality Reduction Criteria; Signals in Medicine.

 
Chapter 4 Fundamentals of Image Reconstruction
 

Introduction; The Mathematical Model; Implementation of the Algorithm; Demonstration on Test Data; ISAR Imaging of Test Data; Three-Scatterer Modeling of the Four Landing Aircraft Configurations; Fourier Imaging; 2-D Image Reconstruction.

 
Chapter 5 Mathematics of Signals and Image Reconstruction
 

Introduction; Synthetic Aperture Radar Imaging; Magnetic Resonance Imaging.

 
Chapter 6 Wavelet Transforms for Electromagnetic Images
 

Introduction; Historical Perspective of Wavelet Analysis; Basic Parameters; Fourier- and Short Time Fourier- Transform; Theory of Wavelet Transform; Continuous Wavelet Transform; Discrete Wavelet Transform; Wavelet Transforms of Images; Daubechies Wavelet Filter Coefficients; Compression and De-noising of ISAR Images; Spatial Domain Wavelet Analysis; ISAR Image Processing.

 
Chapter 7 Magnetic Resonance Signal Analysis Using Wavelets
 

Introduction; Wavelet Transform; Properties of Wavelet Transform; Magnetic Resonance Signal Model; Design of Prototype Wavelet for Signal Analysis; Signal Processing.

 

 
Chapter 8 Vision-Based Underwater Cable Tracking
 

Introduction; Target System; Middle Level Control; Sensor Fusion; Experimental Results; Real-World Implementation; Discussion and Future Trends; Conclusions.

 
Chapter 9 Three-Dimensional Image Reconstruction
  Introduction; Experiment; Characteristics of Image Data; Modeling of Discharge Images; Feature Extraction of Discharge Images; Image Matching Approaches for Discharge Images; The Depth Using Orthogonal Camera; Reconstructed Depth Maps; Conclusions.