Titlebook: Biomedical Image Registration; Third International Josien P. W. Pluim,Boštjan Likar,Frans A. Gerritse Conference proceedings 2006 Springer

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GROG

Geometrical Regularization of Displacement Fields with Application to Biological Image Registratione in a user-friendly fashion..We propose an adaptive regularization approach where the rigidity constraints are informed by the registration application at hand and whose support is controlled by the geometry of the images to be registered..We investigate the behavior of this technique and discuss its sensitivity to the rigidity parameter.

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Introduction to the Non-rigid Image Registration Evaluation Project (NIREP),sh, maintain, and endorse a standardized set of relevant benchmarks and metrics for performance evaluation of nonrigid image registration algorithms. This paper describes the basic framework of the project.

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Shelly Agarwal,Shehla Jamal,Dib Dattaon in a principled way. We show that in the absence of prior information, the method reduces approximately to the popular entropy minimization approach of registration and we provide a theoretical comparison of incorporating prior information in our and other currently existing methods. We also demonstrate experimental results on real images.

出汗

Multi-modal Image Registration Using Dirichlet-Encoded Prior Information,on in a principled way. We show that in the absence of prior information, the method reduces approximately to the popular entropy minimization approach of registration and we provide a theoretical comparison of incorporating prior information in our and other currently existing methods. We also demonstrate experimental results on real images.

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Oversee

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