A Tutorial on Parametric Image Registration
نویسندگان
چکیده
This chapter introduces the reader to the area of parametric image registration, from a beginner’s point of view. Given a model, an input image and a reference image, the parametric registration task is to find a set of parameters (of the model) that transform the input image into the reference image. This chapter reviews models of the general projective, affine, similarity and Euclidean transformations of images, and develop a full example for affine and projective transformation. It also describes two new methods of computing the set of image derivatives needed, besides the classical method reported in the literature. The new methods for computing derivatives are faster and more accurate than the classical method.
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