In this paper, we propose a two-stage level set segmentation framework to extract vascular tree from magnetic resonance angiography(MRA). First, we smooth the isosurface of MRA by anisotropic diffusion filter. Then this smoothed surface is treated as the initial localization of the desired contour, and used in the following geodesic active contours method, which provides accurate vascular struc...

In this work, the level set method and its application in cell segmentation are investigated. The main task is to segment images with clustered cells provided by the Fuzzy Logic Laboratorium Linz-Hagenberg, part of the Department of Knowledge-Based Mathematical Systems at the Johannes Kepler University, Linz. Starting with the traditional level set method, the formulation of the level set funct...

Neural spike sorting refers to the classification of electric potentials (spikes) from multi-neuron recordings, a difficult but essential pre-processing step before neural data can be analyzed for information content. In this paper, we propose a novel method of multineuronal spike sorting based on rough set theory. In the experiments, the performance of the presented system was tested at variou...

In the current age, use of natural communication in human computer interaction is a known and well installed thought. Hand gesture recognition and gesture-based applications has gained a significant amount of popularity amongst people all over the world. It has a number of applications ranging from security to entertainment. These applications generally are real time applications and need fast,...

Modeling of a wide class of physical phenomena, such as crystal growth and flame propagation, leads to tracking fronts moving with curvature-dependent speed. When the speed is the curvature this leads to one of the classical degenerate nonlinear second-order differential equations on Euclidean space. One naturally wonders, “What is the regularity of solutions?” A priori solutions are only defin...

A narrow-band-based adaptive level set method is proposed for mesh evolution in this paper. In the preprocessing step, the portions of the mesh with high curvature are detected and clustered as fine geometric details. Then the fine grids with optimal orientations are defined for each detected portions, while the coarse grid is chosen for global evolution. The solutions on different scale grids ...

In this paper, we proposed a mechanism based on level set method to find the bone marrow parts of the knee MR images. The segmentation can be divided into three steps. The first step is to do rough segmentation on the image using level set method. The second step is to do further segmentation on the result of level set method, and then eliminating the fragments caused by level set method. The t...

In this thesis, the level set method and its application in cell segmentation are investigated. The main task is to segment images with clustered cells provided by FLLL-Hagenberg. Starting with the traditional level set method, the formulation of the level set function and its property are introduced in Chapter 1. The traditional method appears suitable for segmenting cells that don’t stick tog...

ii Preface This report is written at the Technological University of Denmark. The Department of Micro and Nanotechnology offers the three week course 33443 Microfluidics Theory and Simulation, which sorts under the Microfluidics Theory and Simulation (MIFTS) group [4], headed by Professor Henrik Bruus. The motivation for the present report is built on a contact from the Swedish company HemoCue ...