Image Fusion: Theories, Techniques and Applications
Author:   H.B. Mitchell
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2010 ed.
ISBN:  

9783642425035


Pages:   247
Publication Date:   29 November 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Image Fusion: Theories, Techniques and Applications


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Overview

The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present work has been designed as a textbook for a one-semester ?nal-year undergraduate, or ?r- year graduate, course in image fusion. It should also be useful to practising engineers who wish to learn the concepts of image fusion and apply them to practical applications. In addition, the book may also be used as a supp- mentary text for a graduate course on topics in advanced image processing. The book complements the author’s previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book is intended to be self-contained in so far as the subject of image fusion is concerned, although some prior exposure to the ?eld of computer vision and image processing may be helpful to the reader. Apart from two preliminary chapters, the book is divided into three parts.

Full Product Details

Author:   H.B. Mitchell
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2010 ed.
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642425035


ISBN 10:   3642425038
Pages:   247
Publication Date:   29 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Image Sensors.- I: Theories.- Common Representational Format.- Spatial Alignment.- Semantic Equivalence.- Radiometric Calibration.- Pixel Fusion.- II: Techniques.- Multi-resolution Analysis.- Image Sub-space Techniques.- Ensemble Learning.- Re-sampling Methods.- Image Thresholding.- Image Key Points.- Image Similarity Measures.- Vignetting, White Balancing and Automatic Gain Control Effects.- Color Image Spaces.- Markov Random Fields.- Image Quality.- III: Applications.- Pan-sharpening.- Ensemble Color Image Segmentation.- STAPLE: Simultaneous Truth and Performance Level Estimation.- Biometric Technologies.

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