基于CT值的聚类轮廓提取方法

A Clustering Profile Extract Method Based on CT

在分析 CT原理的基础上 ,通过对原始 CT数据进行预处理 ,增强所需对象的特征 ,然后以人体组织的 CT值为聚类特征 ,采用 K-均值聚类分割方法对 CT数据进行分割处理 ,将所需的组织与其他组织分离开 ,从而实现轮廓提取 。

Based on the analysis of CT principle, we adopt the CT datum in medicine and make pre process on them, thus strengthening the features of objects we need and restraining those we don't. Then, we make the CT value of human bodies' organizations as clustering features, and adopt K Average Value Clustering Division to divide and process the CT datum. At last, we separate the organizations of which we need from those we don't, thereby making foundation for further profile vectorization.