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

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John Wiley & Sons, Mar 18, 2005 - Technology & Engineering - 284 pages
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To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.
 

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Contents

1 Introduction
1
2 Preprocessing
7
3 Feature Selection
43
4 Feature Correspondence
63
5 Transformation Functions
107
6 Resampling
143
7 Performance Evaluation
155
8 Image Fusion
167
9 Image Mosaicking
181
10 Stereo Depth Perception
197
Glossary
223
References
229
Index
255
Copyright

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Popular passages

Page 249 - Validation of nonrigid image registration using finite-element methods: application to breast MR images.
Page 254 - CL Zitnick and T. Kanade, A Cooperative Algorithm for Stereo Matching and Occlusion Detection, IEEE Trans.
Page 253 - KS Holton, RA Robb, U. Taneja, and JE Gray, "The evaluation of 3D multimodality image registration using ROC analysis," in SPIE Proceedings in Medical Imaging, Image Perception, H. Kundel, ed., 2436, pp. 90-104, 1995. 10.
Page 253 - Depth from camera motion in a real world scene," IEEE Trans. Pattern Anal. Machine Intell., vol.

References to this book

About the author (2005)

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.

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