Level Set Region Based Image Segmentation Using Lattice Boltzmann Method

Solving Level Set Equation (LSE) by using the classical methods, mostly based on finite differences approximations, costs a lot of computer time particularly when processing high dimensional large-scale data. In recent years, the Lattice Boltzmann Method (LBM) has attracted much attention as a fast alternative approach for solving LSE. The LBM is explicit and highly parallelizable. In this paper, we use the LBM to solve the LSE, we propose an Unsigned Pressure Force (UPF) based on region attribute, which can effectively and efficiently stop the contour at weak blurred edges. The experiments on synthetic and real images illustrate the performance of the proposed method.