2–D and 3–D Image Registration: for Medical, Remote Sensing, and Industrial Applications

A comprehensive resource On The fundamentals and state of the art in image registration
This comprehensive book provides the relevant theories and underlying algorithms needed to master the basics of image registration and to discover the cutting–edge techniques used in medical applications, remote sensing, and industrial applications.
2–D and 3–D Image Registration begins with definitions of main terms and then provides a detailed exam–ple of image registration, describing each critical step. Next, preprocessing techniques for image registration are discussed.
The core of the text presents coverage of all the key concepts needed to understand, implement,and evaluate various image registration methods.
These key methods include:Feature selectionFeature correspondenceTransformation functionsEvaluation methodsImage fusionImage mosaicking
The final chapter discusses stereo depth perception as an application of image registration, and camera calibration and correspondence algorithms are presented in detail.
Examples of image registration are presented throughout the book and as an added feature, a companion Web site contains all the images used in the book. The Web site also provides links to software and algorithms discussed in the text, enabling readers to reproduce the results in the text and develop images for their own research needs. A comprehensive list of references on image registration and their applications in medicine, remote sensing, and industry is provided, allowing readers to extend their research.
This book will serve as an excellent text for classes in image registration, as well as a supplementary textbook in image processing, computer vision, computer graphics, and medical imaging.

Spis treści:
Preface.
Acknowledgments.
Acronyms.
1. Introduction.
2. Preprocessing.
3. Feature Selection.
4. Feature Corres pondence.
5. Transformation Functions.
6. Resampling.
7. Performance Evaluation.
8. Image Fusion.
9. Image Mosaicking.
10. Stereo Depth Perception.
Glossary.
References.
Index.

Nota biograficzna:
A. ARDESHIR GOSHTASBY, PHD, is a professor in the department of computer science and engineering at Wright State University. Dr. Goshtasby has been developing solutions to image registration problems since 1983 and has numerous publications to his credit.

Okładka tylna:
A comprehensive resource On The fundamentals and state of the art in image registration
This comprehensive book provides the relevant theories and underlying algorithms needed to master the basics of image registration and to discover the cutting–edge techniques used in medical applications, remote sensing, and industrial applications.
2–D and 3–D Image Registration begins with definitions of main terms and then provides a detailed exam–ple of image registration, describing each critical step. Next, preprocessing techniques for image registration are discussed.
The core of the text presents coverage of all the key concepts needed to understand, implement,and evaluate various image registration methods.
These key methods include:Feature selectionFeature correspondenceTransformation functionsEvaluation methodsImage fusionImage mosaicking
The final chapter discusses stereo depth perception as an application of image registration, and camera calibration and correspondence algorithms are presented in detail.
Examples of image registration are presented throughout the book and as an added feature, a companion Web site contains all the images used in the book. The Web site also provides links to software and algorithms discussed in the text, enabling readers to reproduce the results in the text and develop images for their own research needs. A comprehensive list of references on image registration and their applications in medicine, remote sensing, and industry is provided, allowing readers to extend their research.
This book will serve as an excellent text for classes in image registration, as well as a supplementary textbook in image processing, computer vision, computer graphics, and medical imaging.