中南民族大学学报（自然科学版）Issue(2)：91-94,116,5.
基于高斯混合模型的腹主动脉图像分割
Image Segmentation of Abdominal Aorta Based on Gaussian Mixture Model
摘要
Abstract
To segment the abdominal aorta from CT images effectively, a improved segmentation algorithm based on Gaussian mixture model with space constraints is proposed.This algorithm integrates 3D neighborhood information into Gaussian mixture model, then estimates the parameters of Gaussian mixture model by using EM algorithm to segment the aorta from gray image of abdominal aorta.The experiments demonstrate that the proposed not only achieves the better segmentation of aortic branches, but also inhibits noise in images by considering the spatial neighborhood information.关键词
高斯混合模型/最大期望算法/血管分割/适度空间约束Key words
Gaussian Mixture Model/Expectation-Maximization Algorithm/Aorta Segmentation/Moderate Spatial Constraints分类
信息技术与安全科学引用本文复制引用
刘海华,郭杰龙..基于高斯混合模型的腹主动脉图像分割[J].中南民族大学学报（自然科学版）,2015,(2):91-94,116,5.基金项目
国家自然科学基金资助项目 （）
