欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
提出一种新的基于笔画的传输函数设计方法。与其他基于笔画的方法相比，该方法只要求用户对感兴趣数据做少量标记，操作更简便；另外该方法更好地考虑了体数据的空间信息，分类结果更合理。首先使用贪心极大似然估计算法构建用户感兴趣数据和背景数据的高斯混合模型（GMM）模型；然后基于GMM模型使用Graph-Cuts实现对体数据的分类，并通过仔细设计Graph—Cuts能量函数的平滑项将空间信息引入分类过程。针对体数据的规模大，难以直接应用Graph-Cuts算法的难题，在此通过使用层次模型减小Graph-Cuts算法所处理问题的规模，从而获得了实时交互的效果。该方法使用多个体数据进行测试，获得令人满意的效果。
英文摘要：
A new design method of paint-based transfer function is presented in this paper. In comparison with other paint- based methods, the proposed method only asks the user to mark the interesting data. It is more convenient anyway. In addition, the method more appropriately considers volume data＇s spatial information, and results in more reasonable classification. First-ly, the Gaussian mixed models （GMMs） for both user＇s interesting data and background data are established by greedy maxi- mum likelihood estimation algorithm, then classification is achieved by Graph-Cuts optimizations based on the established GMMs, and spatial information is involved in the classification through careful design of smoothing term of the Graph-Cuts ener- gy function. In general, volume data is too large to apply Graph-Cuts algorithm directly for interactive rate, which is resolved by using volume data＇s hierarchical model. Testing on several volume data has demonstrated the effectiveness and advantage of the method.
同期刊论文项目
同项目期刊论文
Research on engineering-oriented constraints conflict detection in collaborative design of wire harn
期刊信息
位置：