一种序列切片图像的快速自动分割方法  

A Fast and Automatic Segmentation Method for Sequential Slice Images

作　　者：刘斌[1,2] 欧宗瑛[1,2] 苏铁明[1,2] 韩军 

机构地区：[1]大连理工大学精密与特种加工教育部重点实验室,大连市凌工路2号116023 [2]大连理工大学CAD与网络技术研究所,大连市凌工路2号116023 [3]大连现代高技术发展有限公司,大连市信达街51号116025

出　　处：《武汉大学学报（信息科学版）》2009年第5期539-543,共5页Geomatics and Information Science of Wuhan University

基　　金：国家863计划资助项目(863-306-ZD13-03-6);辽宁省高校科学研究青年基金资助项目(2004F057)

摘　　要：提出了一种针对中国虚拟人彩色序列切片图像的连续自动分割方法,其主体思想基于区域生长算法,采用颜色与纹理相结合的方式评估相似度,应用窗口中值法避免出现噪声种子点,提出一种侵蚀算法自动生成目标种子点,利用自适应算法设定阈值。整个分割流程采用并行计算的多线程架构,能够实现虚拟人主要器官组织的快速序列化分割,自动化程度较高,分割得到的器官轮廓清晰准确,三维建模后的效果良好。A color image segmentation method was presented for Virtual Chinese Human Project. Using this policy, the color slice images of refrigerant body can be segmented in series automatically. This new method was mainly based on region-growing arithmetic. A combi- nation of color and texture was performed for comparability evaluation. Window-median arithmetic was applied to avoid noisy seed point. A corrosion algorithm was implemented to create target seed points automatically. An adaptive algorithm was adopted to set threshold. And the multithreading frame for concurrent computation was introduced in the entire segmentation procedure. This method supermatic the primary organ of Virtual Human was segmented fleetly and serially. The organ＇s figures after segmentation were clear and accurate. The models after 3D reconstruction were visual and vivid, as well.

关 键 词：彩色图像分割 中国虚拟人 相似性特征 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置] P237.4[自动化与计算机技术—控制科学与工程]