01313nas a2200157   4500008004100000020002300041245004400064210004400108260003300152300001600185520081900201100001901020700001901039700001701058856008001075       2009                        eng d  a978-1-4244-5653-6 00aNonlinear registration of binary shapes0 aNonlinear registration of binary shapes  aCairo, EgyptbIEEEcNov 2009  a1101 - 11043 a<p>A novel approach is proposed to estimate the parameters of a diffeomorphism that aligns two binary images. Classical approaches usually define a cost function based on a similarity metric and then find the solution via optimization. Herein, we trace back the problem to the solution of a system of non-linear equations which directly provides the parameters of the aligning transformation. The proposed method works without any time consuming optimization step or established correspondences. The advantage of our algorithm is that it is easy to implement, less sensitive to the strength of the deformation, and robust against segmentation errors. The efficiency of the proposed approach has been demonstrated on a large synthetic dataset as well as in the context of an industrial application. ©2009 IEEE.</p>1 aNemeth, Jozsef1 aDomokos, Csaba1 aKato, Zoltan  uhttps://inf.u-szeged.hu/publication/nonlinear-registration-of-binary-shapes