Image Recognition and Classification Algorithms Systems and Applications 1st Edition by Bahram Javidi ISBN 9780824707835

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ISBN 10: 
ISBN 13: 9780824707835
Author: Bahram Javidi

This book presents important recent advances in sensors, image processing algorithms, and systems for image recognition and classification with diverse applications in military, aerospace, security, image tracking, radar, biomedical, and intelligent transportation. The book includes contributions by some of the leading researchers in the field to present an overview of advances in image recognition and classification over the past decade. It provides both theoretical and practical information on advances in the field.

Image Recognition and Classification Algorithms Systems and Applications 1st Table of contents:

• Linear Filters for Pattern Recognition

  • Introduction to linear filters in image processing.
  • Techniques for smoothing and enhancing image features.
  • Applications of linear filtering in pattern recognition.

• Nonlinear Filtering for Image Recognition

  • The role of nonlinear filters in handling complex image patterns.
  • Nonlinear filtering techniques and their impact on noise reduction.
  • Case studies on image enhancement through nonlinear methods.

• Distortion-Invariant Pattern Recognition Systems

  • Approaches to recognizing patterns despite distortion.
  • Methods for making recognition systems resilient to transformations such as scaling, rotation, and noise.

• Image Recognition Based on Statistical Detection Theory

  • Statistical models for detecting patterns and anomalies.
  • Hypothesis testing and decision-making frameworks in image recognition.

• Neural Networks-Based Automatic Target Recognition

  • An overview of artificial neural networks in image recognition.
  • How neural networks can be trained to identify and classify targets automatically.

• Hyperspectral Automatic Object Recognition

  • The use of hyperspectral imaging for advanced object recognition.
  • Techniques for analyzing data across multiple wavelengths to enhance object identification.

• Laser Radar Automatic Target Recognition

  • The application of LIDAR and radar systems for target recognition.
  • Case studies on automatic recognition using laser radar data.

• Radar Signature Recognition

  • Recognizing patterns and signatures in radar data.
  • Techniques for interpreting radar signals to classify objects.

• Wavelets for Image Recognition

  • Introduction to wavelet transforms for image processing.
  • How wavelet techniques can aid in recognizing objects at different scales.

• Pattern Recognition for Anti-Counterfeiting and Security Systems

  • Techniques for detecting counterfeit items using image recognition.
  • Applications in security, including currency validation and document verification.

• Applications of Pattern Recognition Techniques to Road Sign Recognition and Tracking

  • How pattern recognition is applied to road sign detection in autonomous vehicles.
  • Real-time tracking and classification of road signs for driver assistance systems.

• Optical and Optoelectronic Implementation of Linear and Nonlinear Filters

  • Implementation of image processing filters using optical and optoelectronic devices.
  • The integration of hardware systems for real-time pattern recognition tasks.

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