Multi-Sensor Image Fusion and Its Applications

Rick S. (Lehigh University Blum

ISBN 10: 0849334179 / ISBN 13: 9780849334177

Published by Taylor & Francis Inc Jul 2005, 2005

About this Item

Neuware - Combining information from multiple sources, image fusion provides a more accurate description of a scene than any one of the individual source images alone. Using multiple modalities increases the reliability and overall performance compared to single-sensor imaging systems, as the various sensors provide complementary information about the scene. This text explores both the theoretical and applicative aspects of image fusion, illustrating its uses in concealed weapon detection, surveillance, medical diagnosis, and remote sensing, to name only a few. The authors discuss the progress of research into image fusion and highlight the way to solve practical problems using the technique.

Seller Inventory # 9780849334177

Bibliographic Details

• Title: Multi-Sensor Image Fusion and Its Applications
• Publisher: Taylor & Francis Inc Jul 2005
• Publication Date: 2005
• Language: English
• ISBN 10: 0849334179
• ISBN 13: 9780849334177
• Binding: Buch
• Condition: Neu
• Dimensions: 238W x 160H x 33D millimeters 238 millimeters width by 160 millimeters height by 33 millimeters depth
• Weight: 882 grams

About this title

Synopsis

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.

About the Author

Rick S. Blum, Zheng Liu