title: Application of Lattice Boltzmann Method to image segmentation.
abstract: This paper presents a novel image segmentation algorithm based on Lattice Boltzmann Method (LBM). The anisotropic diffusion model was derived from the LBM. As a numerical tool to solving the partial differential equation, its stability was proved in theory and its accuracy was demonstrated. The algorithm was evaluated with the clinical images of CT, DSA, and MRI. The experimental results show the LBM-based image segmentation algorithm is effective.
authors.affiliation: School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China. tzcy@graduate.shu.edu.cn
authors.forename: Yu
authors.initials: Y
authors.lastname: Chen
authors.forename: Zhuangzhi
authors.initials: Z
authors.lastname: Yan
authors.forename: Jun
authors.initials: J
authors.lastname: Shi
mesh_terms: D000465:Algorithms; D015901:Angiography, Digital Subtraction; D016880:Anisotropy; D001921:Brain / Q000000981:diagnostic imaging*; D006801:Humans; D008279:Magnetic Resonance Imaging; D011857:Radiographic Image Interpretation, Computer-Assisted; D014057:Tomography, X-Ray Computed