E-Book, Englisch, 528 Seiten
Blum / Liu Multi-Sensor Image Fusion and Its Applications
1. Auflage 2005
ISBN: 978-1-4200-2698-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 528 Seiten
Reihe: Signal Processing and Communications
ISBN: 978-1-4200-2698-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.
Zielgruppe
Electrical, signal processing, and computer engineers, medical imaging technicians, engineers, and researchers, security systems designers and architects, and students and researchers in these areas.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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
