Table of Contents

1: Introduction
2: The Human Neuroscanning Project
3: The mathematical setting
I PARAMETRIC IMAGE REGISTRATION
4: Landmark based registration
5: Principal axes based registration
6: Optimal linear registration
7: Summarizing parametric image registration
II NON-PARAMETRIC IMAGE REGISTRATION
8: Non-parametric image registration
9: Elastic registration
10: Fluid registration
11: Diffusion registration
12: Curvature registration
13: Concluding remarks

Reviews

`In Numerical Methods for Image Registration, author Jan Modersitzki presents a well-focused text on the solutions to a particular problem in the field of computer vision and image processing--image registration.
I certainly recommend the book for researchers as well as mathematically inclined practitioners in the field of image processing and computer vision.
'
Gurusham Sudhir in The Industrial Physicist
`This book is definitely award-worthy in its timeliness, clarity, completeness, and impotrance. This reviewer personally votes for this work as the best in 2004 in the area of imaging sciences.'
Jianhong Shen in Mathematical Reviews 2005h