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

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.