A comparative study of transformation functions for nonrigid image registration

被引：134

作者：

Zagorchev, L ^{[1
]}

Goshtasby, A ^{[1
]}

机构：

[1] Wright State Univ, Dept Comp Sci & Engn, Dayton, OH 45402 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2006年 / 15卷 / 03期

关键词：

image registration; multiquadric (MQ); piecewise linear (PL); radial basis functions; thin-plate spline (TPS); transformation function; weighted-mean (WM);

D O I：

10.1109/TIP.2005.863114

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Transformation functions play a major role in nonrigid image registration. In this paper, the characteristics of thin-plate spline (TPS), multiquadric (MQ), piecewise linear (PL), and weighted mean (WM) transformations are explored and their performances in nonrigid image registration are compared. TPS and MQ are found to be most suitable when the set of control-point correspondences is not large (fewer than a thousand) and variation in spacing between the control points is not large. When spacing between the control points varies greatly, PL is found to produce a more accurate registration than TPS and MQ. When a very large set of control points is given and the control points contain positional inaccuracies, WM is preferred over TPS, MQ, and PL because it uses an averaging process that smoothes the noise and does not require the solution of a very large system of equations. Use of transformation functions in the detection of incorrect correspondences is also discussed.

引用

页码：529 / 538

页数：10

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