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We present a new surface energy potential for the segmentation of cylindrical objects in 3D medical imaging using parametric spline active contours (a.k.a. spline-snakes). Our energy formulation is based on an optimal steerable surface detector. Thus, we combine the concept of steerability with spline-snakes that have open topology for semi-automatic segmentation. We show that the proposed energy...
Pixel intensities of Magnetic Resonance Images (MRI) are known to get corrupted by noise during the acquisition process, resulting in degradation of diagnostic features. Improper estimation of this noise level acts as a performance constraint for noise suppression and subsequent image processing tasks. This paper utilizes a patch based approach where the decomposed patches of MRI with low texture...
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