IEEE Trans Image Process - On removing interpolation and resampling artifacts in rigid image registration.

Tópicos

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{ imag(2830) propos(1344) filter(1198) }
{ model(3480) simul(1196) paramet(876) }
{ imag(1947) propos(1133) code(1026) }
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Resumo

We show that image registration using conventional interpolation and summation approximations of continuous integrals can generally fail because of resampling artifacts. These artifacts negatively affect the accuracy of registration by producing local optima, altering the gradient, shifting the global optimum, and making rigid registration asymmetric. In this paper, after an extensive literature review, we demonstrate the causes of the artifacts by comparing inclusion and avoidance of resampling analytically. We show the sum-of-squared-differences cost function formulated as an integral to be more accurate compared with its traditional sum form in a simple case of image registration. We then discuss aliasing that occurs in rotation, which is due to the fact that an image represented in the Cartesian grid is sampled with different rates in different directions, and propose the use of oscillatory isotropic interpolation kernels, which allow better recovery of true global optima by overcoming this type of aliasing. Through our experiments on brain, fingerprint, and white noise images, we illustrate the superior performance of the integral registration cost function in both the Cartesian and spherical coordinates, and also validate the introduced radial interpolation kernel by demonstrating the improvement in registration.

Resumo Limpo

show imag registr use convent interpol summat approxim continu integr can general fail resampl artifact artifact negat affect accuraci registr produc local optima alter gradient shift global optimum make rigid registr asymmetr paper extens literatur review demonstr caus artifact compar inclus avoid resampl analyt show sumofsquareddiffer cost function formul integr accur compar tradit sum form simpl case imag registr discuss alias occur rotat due fact imag repres cartesian grid sampl differ rate differ direct propos use oscillatori isotrop interpol kernel allow better recoveri true global optima overcom type alias experi brain fingerprint white nois imag illustr superior perform integr registr cost function cartesian spheric coordin also valid introduc radial interpol kernel demonstr improv registr

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