Multi-Sensor Image Fusion and Its Applications
eBook - ePub

Multi-Sensor Image Fusion and Its Applications

  1. 528 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Multi-Sensor Image Fusion and Its Applications

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Multi-Sensor Image Fusion and Its Applications by Rick S. Blum,Zheng Liu in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Chapter 1 An Overview of Image Fusion
  8. Chapter 2 Mutual Information Based Image Registration with Application to 3D Medical Brain Imagery
  9. Chapter 3 Studies on Registration and Fusion of Retinal Images
  10. Chapter 4 Nonrigid MR/US Registration for Tracking Brain Deformations
  11. Chapter 5 Multisensor Data Inversion and Fusion Based on Shared Image Structure
  12. Chapter 6 Entropic Graphs for Registration
  13. Chapter 7 Fusion of Images from Different Electro-Optical Sensing Modalities for Surveillance and Navigation Tasks
  14. Chapter 8 A Statistical Signal Processing Approach to Image Fusion Using Hidden Markov Models
  15. Chapter 9 Multimodal Human Recognition Systems
  16. Chapter 10 Change Detection/Interpretation with Evidential Fusion of Contextual Attributes — Application to Multipass RADARSAT-1 Data
  17. Chapter 11 Multisensor Registration for Earth Remotely Sensed Imagery
  18. Chapter 12 System and Model-Based Approaches to Data Fusion for NDE Applications
  19. Chapter 13 Fusion of Multimodal NDI Images for Aircraft Corrosion Detection and Quantification
  20. Chapter 14 Fusion of Blurred Images
  21. Chapter 15 Gaze-Contingent Multimodality Displays for Visual Information Fusion: Systems and Applications
  22. Chapter 16 Structural and Information Theoretic Approaches to Image Quality Assessment
  23. Index