Multi-Sensor Image Fusion and Its Applications

Multi-Sensor Image Fusion and Its Applications

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Features

  • Presents the latest techniques and applications for multi-sensor image fusion and registration
  • Includes case studies that illustrate the application of techniques to real problems, providing hands-on knowledge
  • Explores the advanced theory behind the techniques, allowing application of the principles to new problems
  • Contains a 28-page full-color insert that provides approximately 50 illustrations, vividly demonstrating the utility of the techniques
  • Summary

    Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies.

    After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation.

    Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

    Table of Contents

    Preface
    AN OVERVIEW OF IMAGE FUSION
    Rick S. Blum, Zhiyun Xue, and Zhong Zhang

    MUTUAL INFORMATION BASED IMAGE REGISTRATION WITH APPLICATION TO 3D MEDICAL BRAIN IMAGERY
    Hua-Mei Chen and Pramod K. Varshney

    STUDIES IN REGISTRATION AND FUSION OF RETINAL IMAGES
    France Laliberté and Langis Gagnon

    NONRIGID MR/US REGISTRATION FOR TRACKING BRAIN DEFORMATIONS
    Xavier Pennec, Nicholas Ayache, Alexis Roche, and Pascal Cathier

    MULTISENSOR DATA INVERSION AND FUSION BASED ON SHARED IMAGE STRUCTURE
    Robert A. Weisenseel, William C. Karl, and Raymond C. Chan

    ENTROPIC GRAPHS FOR REGISTRATION
    Huzefa Neemuchwala and Alfred Hero

    FUSION OF IMAGES FROM DIFFERENT ELECTRO-OPTICAL SENSING MODALITIES FOR SURVEILLANCE AND NAVIGATION TASKS
    Alexander Toet

    A STATISTICAL SIGNAL PROCESSING APPROACH TO IMAGE FUSION USING HIDDEN MARKOV MODELS
    Jinzhong Yang and Rick S. Blum

    MULTIMODAL HUMAN RECOGNITION SYSTEMS
    Arun Ross and Anil K. Jain

    CHANGE DETECTION/INTERPRETATION WITH EVIDENTIAL FUSION OF CONTEXTUAL ATTRIBUTES: APPLICATIONS TO MULTIPASS RADARSAT-1 DATA
    Alexandre Jouan, Yannick Allard, and Yves Marcoz

    MULTISENSOR REGISTRATION FOR EARTH REMOTELY SENSED IMAGERY
    Jacqueline Le Moigne and Roger Eastman

    SYSTEM AND MODEL-BASED APPROACHES TO DATA FUSION FOR NDE APPLICATIONS
    Lalita Udpa, Satish Udpa, and Antonello Tamburrino

    FUSION OF MULTIMODAL NDI IMAGES FOR AIRCRAFT CORROSION DETECTION AND QUANTIFICATION
    Zheng Liu, David S. Forsyth, and Jerzy P. Komorowski

    FUSION OF BLURRED IMAGES
    Filip ?Sroubek and Jan Flusser

    GAZE-CONTINGENT MULTIMODALITY DISPLAYS FOR VISUAL INFORMATION FUSION: SYSTEMS AND APPLICATIONS
    Stavri Nikolov, Michael Jones, Iain Gilchrist, David Bull, and Nishan Canagarajah

    STRUCTURAL AND INFORMATION THEORETIC APPROACHES TO IMAGE QUALITY ASSESSMENT
    Kalpana Seshadrinathan, Hamid R. Sheikh, Alan C. Bovik, and Zhou Wang

     
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