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Multi sensor image fusion and its applications 1st Edition by Rick S Blum, Zheng Liu ISBN 0849334179 9780849334177

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Multi sensor image fusion and its applications 1st Edition Rick S. Blum Digital Instant Download

Author(s): Rick S. Blum, Zheng Liu
ISBN(s): 9780849334177, 0849334179
Edition: 1
File Details: PDF, 41.42 MB
Year: 2006
Language: english
SKU: EB-1076810 Category: Tags: ,

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Product details:

ISBN 10: 0849334179 

ISBN 13: 9780849334177

Author: Rick S. Blum, Zheng Liu 

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:

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

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Tags: Rick S Blum, Zheng Liu, Multi Sensor, Image Fusion, Applications