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Titlebook: Geometric Level Set Methods in Imaging, Vision, and Graphics; Stanley Osher,Nikos Paragios Book 2003 Springer Science+Business Media New Y

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Fast Methods for Implicit Active Contour Modelsare present. Moreover, it possesses all typical advantages of AOS schemes: simple implementation, equal treatment of all axes, suitability for parallel computing, and straightforward generalization to higher dimensions. Experiments show that one can gain a speed up by one order of magnitude compared to the widely used explicit time discretization.
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Shape Analysis towards Model-based Segmentationet prior that constrains the segmentation result to be in a family of shapes defined through a similarity transformation of the prior model. Promising results and systematic validation for each of the topics under investigation demonstrate the performance and the potentials of our approach.
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Amphetamines and their metabolitestial differential equations. Our main experimental results involve blurry images which have been further corrupted with multiplicative noise. As in additive noise case of [447, 450] our numerical algorithm is simple to implement and is nonoscillatory (minimal ringing) and noninvasive (recovers sharp edges).
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Drugs and the Inheritance of Behaviort of discontinuities is represented implicitly, using the level set method. Minimizing these energies in a level set formulation, yields coupled curve evolution and diffusion equations, which can be used for object detection and image segmentation. Finally, the proposed methods are validated by various numerical results in two dimensions.
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