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Image segmentation is a tool which is widely used in many applications related to image processing, and it comprises one of the most difficult steps of the process. This matter becomes more significant when we try to use the algorithms presented in complicated systems, such as the identity recognition systems. Different methods of image segmentation have been presented so far. In this article, a two-step...
Finding the surface of a volumetric 3D object is a fundamental problem in computer vision. Energy minimizing splines, such as active surfaces, have been used to carry out such tasks, evolving under the influence of internal and external energies until the model converges to a desired surface. The present deformable model based surface extraction techniques are computationally expensive and are generally...
Segmentation of the left ventricle (LV) is a hot topic in cardiac magnetic resonance (MR) images analysis and still remains an open issue. In this paper, we propose a novel method, radial B-Snake model based on improved gradient vector flow (GVF), to segment LV automatically. Due to the left ventriclepsilas circle-like shape prior in short-axis view, the region of interest (ROI) of LV could be transformed...
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