几何偏微分方程和图像分析

List of figures Preface Acknowledgments Introduction 1 Basic Mathematical Background 　1.1 Planar Differential Geometry 　1.2 Affine Differential Geometry 　1.3 Cartan Moving Frames 　1.4 Space Curves 　1.5 Three-Dimensional Differential Geometry 　1.6 Discrete Differential Geometry 　1.7 Differential Invariants and Lie Group Theory 　1.8 Basic Concepts of Partial Differential Equations 　1.9 Calculus of Variations and Gradient Descent Flows 　1.10 Numerical Analysis 　Exercises 2 Geometric Curve and Surface Evolution 　2.1 Basic Concepts 　2.2 Level Sets and Implicit Representations 　2.3 Variational Level Sets 　2.4 Continuous Mathematical Morphology 　2.5 Euclidean and affine Curve Evolution and Shape Analysis 　2.6 Euclidean and Affine Surface Evolution 　2.7 Area-and Volume-Preserving 3D Flows 　2.8 Calssification of Invariant Geometric Flows 　Exercises 3 Geodesic Curves and Minimal Surfaces 3.1 Basic Two-Dimensional Derivation 3.2 Three-Dimensional Derivation 3.3 Geodesics in Vector-Valued Images 3.4 Finding the Minimal Geodesic 3.5 Affine Invariant Active Contours 3.6 Additional Extensions and Modifications 3.7 Tracking and Morphing Active Contours 3.8 Stereo Appendix A Appendix B Exercises 4 Geometric Diffusion of Scalar Images 4.1 Gaussian Filtering and Linear Scale Spaces 4.2 Edge-Stopping Diffusion 4.3 Directional Diffusion 4.4 Introducing Prior Knowledge 4.5 Some Order in the PDE Jungle Exercises 5 Geometric Diffusion of Vector-Valued Images 5.1 Directional Diffusion of Multivalued Images 5.2 Vectorial Median Filter 5.3 Color Self-Snakes Exercises 6 Diffusion on Nonflat Manifolds 6.1 The General Problem 6.2 Isotropic Diffusion 6.3 Anisotropic Diffusion 6.4 Examples 6.5 Vector Probability Diffusion Appendix Exercises 7 Contrast Enhancement 7.1 Global PDE-Based Approach 7.2 Shape-Preserving Contrast Enhancement Exercises 8 Additional Theories and Applications 8.1 Interpolation 8.2 Image Repair: Inpainting 8.3 Shape from Shading 8.4 Blind Deconvolution Exercises Bibliography Index