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Multi-sensor image fusion and its applications

Author: Rick S Blum; Zheng Liu
Publisher: Boca Raton, FL : Taylor & Francis, 2006.
Series: Signal processing and communications, 25.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Multi-sensor image fusion and its applications.
Boca Raton, FL : Taylor & Francis, 2006
(DLC) 2005041824
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rick S Blum; Zheng Liu
ISBN: 1420026984 9781420026986
OCLC Number: 309876228
Description: 1 online resource (xv, 505 pages) : illustrations.
Contents: Front cover; Preface; Editors; Contributors; Table of Contents; Dedication; 1. An Overview of Image Fusion*; 2. Mutual Information Based Image Registration with Application to 3D Medical Brain Imagery; 3. Studies on Registration and Fusion of Retinal Images; 4. Nonrigid MR/US Registration for Tracking Brain Deformations; 5. Multisensor Data Inversion and Fusion Based on Shared Image Structure; 6. Entropic Graphs for Registration; 7. Fusion of Images from Different Electro-Optical Sensing Modalities for Surveillance and Navigation Tasks. 8. A Statistical Signal Processing Approach to Image Fusion Using Hidden Markov Models9. Multimodal Human Recognition Systems; 10. Change Detection/ Interpretation with Evidential Fusion of Contextual Attributes --
Application to Multipass RADARSAT-1 Data; 11. Multisensor Registration for Earth Remotely Sensed Imagery; 12. System and Model-Based Approaches to Data Fusion for NDE Applications; 13. Fusion of Multimodal NDI Images for Aircraft Coroosion Detection and Quantification; 14. Fusion of Blurred Images. 15. Gaze-Contingent Multimodality Displays for Visual Information Fusion: Systems and Applications16. Structural and Information Theoretic Approaches to Image Quality Assessment; Index.
Series Title: Signal processing and communications, 25.
Responsibility: edited by Rick S. Blum and Zheng Liu.
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Abstract:

Combining information from multiple sources, image fusion provides a more accurate description of a scene than any one of the individual source images alone. This book explores both the theoretical  Read more...

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