A Regression Model for Registering Multimodal Images
Thomas Deregnaucourt, Chafik Samir, Anne‐Françoise Yao · Procedia Computer Science · 2016
We propose a new multimodal image registration method when using different imaging modalities separately. The proposed method first aligns corresponding extracted geometric features (continuous curves), and then estimate the deformation vector field as spatial stochastic processes. The resulting deformation has the advantage of registering the given data in such a way that the corresponding curves-regions match as being sufficiently smooth over the whole image domain. Experimental results on both synthetic and real data show that the proposed method matches the state-of-the-art.