원문정보
초록
영어
Because the traditional partial differential exist image blur, information read errors and large error defects, this thesis proposes the image registration of differential equations. This theory is based on differential equations to classify different classification, to build the model for different types for differential equations based on the application of image registration, and finally to take simulation experiments for different application of differential equations according to different images. Simulation results show that: the model of partial differential equations in this paper is easier to extract and recognize image information extraction, so it is good for reading, but also more clearly and accurately to achieve an effective registration.
목차
1. Introduction
2. Partial Differential Equations
2.1 Theory of Partial Differential Equations
2.2 Heat Partial Differential Equation
2.3 Partial Differential Wave Equation
2.4 Partial Differential Value Calculation
3. PDE-based Self-adaption Anisotropy Registration Model
3.1. Image Registration Model of Partial Differential
3.2. Self-adaption Anisotropy Regular Term
3.3. Contour Model of Partial Differential
3.4. Self-adaption Anisotropic Registration and Solution Based on Partial Differential Equations
4. Experimental Simulation and Analysis
4.1 Registration Evaluation
4.2 Optical Flow Experimental of Rubik Chart
4.3 Brain MR Image Registration
4.4 Different Pictures of multi-modal human Brain
4.5 Registration of Human Face Images
5. Conclusion
References