Medical Image Segmentation Using Finite Element Methods For Active Model And Balloon

Image segmentation is an important problem in computer vision, and can be used extensively in many fields such as virtual reality, autonomous guided vehicles, robot environment analysis, object tracking and recognition in monitor system, biology medical image processing, industry online automatic checking and reverse engineering etc. In the field of manufacture, the geometric models are constructed through measuring them and then they will be used to ameliorate the design and manufacture, this process is called reverse engineering. Image segmentation is used widely in the field of science study, technology, biomedicine etc, and is used for settling the problem of geometric size measurement, transmogrification measurement, scathe measurement, surveilling the quality of manufacture, profile modeling, CAD/CAM, and physic diagnosis etc. In these techniques, the deformable active model is a hot point research.The active models bring a new viewpoint t6 traditional computer version, and became one of the most active and successful fields in computer vision image manipulation and pattern recognition. Therefore, the research of based on the active models is important signification of theory and application. In this dissertation, based on parameter active models theory and application on 2D medical image, a new active model balloon based on the finite element is proposed, and then it is applied to the real medical image. The main work and conclusion in mis dissertation are as follows:The research, development and application of active model is reviewed from geometry representation, scale-spaces and optimization method; the physical essence and the idiographic calculating process of the classical active model are also discussed: and , the existing problems and possible future research orientations are presented.The scale-spaces of active model has been improved, and a model named balloon is presented, which can avoid the local minimum effectively and enforce the capture ability of the deformed active contour model. The model can arrive at the deep notch.A solution for balloon active model based on the finite element method is presented. Comparing with Finite Difference, finite element solution has the ability of greater stability and faster convergence.