Image Fusion
Theories, Techniques and Applications
Seiten
2014
|
2010
Springer Berlin (Verlag)
978-3-642-42503-5 (ISBN)
Springer Berlin (Verlag)
978-3-642-42503-5 (ISBN)
This text provides a comprehensive introduction to the theories, techniques and applications of image fusion. It examines in detail many real-life examples of image fusion, including panchromatic sharpening and ensemble color image segmentation.
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.
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.
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.
| Erscheint lt. Verlag | 29.11.2014 |
|---|---|
| Zusatzinfo | XVI, 247 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 409 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Algebra | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Change detection • image fusion • Image Processing • Image Registration • Image Segmentation • Knowledge • learning • markov random field • MATLAB • Pan-Sharpening • Remote Sensing • Sensor Fusion • Subspace • Super-resolution • Wavelets |
| ISBN-10 | 3-642-42503-8 / 3642425038 |
| ISBN-13 | 978-3-642-42503-5 / 9783642425035 |
| Zustand | Neuware |
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