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Titlebook: Scale Space and Variational Methods in Computer Vision; Second International Xue-Cheng Tai,Knut Mørken,Knut-Andreas Lie Conference proceedi

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Validation of Watershed Regions by Scale-Space Statisticsifficulty in distinguishing valid watershed regions associated with real structures of the image from invalid random regions due to background noise. In this paper, a hierarchy of watershed regions is established by following merging process of the regions in a Gaussian scale space. The distribution
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A Nonlinear Probabilistic Curvature Motion Filter for Positron Emission Tomography Imagese raw-projection data, i.e. the sinogram, from which the PET is reconstructed, contains a very high level of Poisson noise. The latter complicates the PET image’s interpretation which may lead to erroneous diagnoses. Suitable denoising techniques prior to reconstruction can significantly alleviate t
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Finsler Geometry on Higher Order Tensor Fields and Applications to High Angular Resolution Diffusionifically High Angular Resolution Diffusion Imaging (HARDI) [1] of the brain. We want to find robust ways to reveal the architecture of the neural fibers in brain white matter. In Diffusion Tensor Imaging (DTI), the diffusion of water is modeled with a symmetric positive definite second order tensor,
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/861083.jpg
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