Dillard Scott, Bingert John, Thoma Dan, Hamann Bernd
Institute for Data Analysis and Visualization, University of California, Davis, USA.
IEEE Trans Vis Comput Graph. 2007 Nov-Dec;13(6):1528-35. doi: 10.1109/TVCG.2007.70543.
We present a method for extracting boundary surfaces from segmented cross-section image data. We use a constrained Potts model to interpolate an arbitrary number of region boundaries between segmented images. This produces a segmented volume from which we extract a triangulated boundary surface using well-known marching tetrahedra methods. This surface contains staircase-like artifacts and an abundance of unnecessary triangles. We describe an approach that addresses these problems with a voxel-accurate simplification algorithm that reduces surface complexity by an order of magnitude. Our boundary interpolation and simplification methods are novel contributions to the study of surface extraction from segmented cross-sections. We have applied our method to construct polycrystal grain boundary surfaces from micrographs of a sample of the metal tantalum.
我们提出了一种从分割后的横截面图像数据中提取边界曲面的方法。我们使用约束Potts模型在分割图像之间插值任意数量的区域边界。这会生成一个分割后的体数据,我们使用著名的行进四面体方法从中提取三角化的边界曲面。该曲面包含阶梯状伪影和大量不必要的三角形。我们描述了一种通过体素精确的简化算法来解决这些问题的方法,该算法将曲面复杂度降低了一个数量级。我们的边界插值和简化方法是从分割后的横截面提取曲面研究中的新贡献。我们已将我们的方法应用于从金属钽样品的显微照片构建多晶晶界曲面。