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- W2499382068 abstract "Abstract This chapter summarizes the techniques discussed so far in this book. The techniques are all based on the minimization of a certain distance measure, and the distance measure is based on image features or directly on image intensities. Image features can be user supplied (e.g., landmarks) or may be deduced automatically from the image intensities (e.g., principal axes). Typical examples of intensity-based distance measures are the sum of squared differences, correlation or mutual information. For all proposed techniques, the transformation is parametric, i.e., it can be expanded in terms of some parameters and basis functions. The desired transformation is a minimizer of the distance measure in the space spanned by the basis functions. The minimizer can be obtained from algebraic equations or by applying appropriate optimization tools." @default.
- W2499382068 created "2016-08-23" @default.
- W2499382068 creator A5074060460 @default.
- W2499382068 date "2003-12-04" @default.
- W2499382068 modified "2023-09-28" @default.
- W2499382068 title "SUMMARY OF PARAMETRIC IMAGE REGISTRATION" @default.
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- W2499382068 doi "https://doi.org/10.1093/acprof:oso/9780198528418.003.0007" @default.
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