二维网格数据中特征区域的提取算法

ALGORITHMS FOR EXTRACTING FEATURE REGION FROM 2D MESH DATA

网格数据是有限元计算与实际测量中得到的主要数据，数据量较大．在数据可视化时减少计算及存储的一个有效方法是将庞大数据中的特征区域提取出来并单独显示及存储．为此，文中将讨论二维网格数据中特征区域的自动提取方法．对于常见的各类网格数据，给出了从中提取特征区域的区域生长算法，及检测特征区域边缘点的边缘检测算法．

Mesh data is usually a massive data set obtained from computation and measurement. In the visualization of mesh data,an efficient method for decreasing computation and memory is to extract feature region from massive data set and visualize,store or transmit it solely. For this reason,some algorithms are developed for extracting connected feature region and detecting feature's edge from two dimensional mesh data.