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Representative Isovalue Detection and Isosurface Segmentation Using Novel Isosurface Measures
Computer Graphics Forum ( IF 2.5 ) Pub Date : 2020-06-01 , DOI: 10.1111/cgf.13961
Cuilan Wang 1
Affiliation  

Interval volume is the volume of the region between two isosurfaces. This paper proposes a novel measure, called VOA measure, that is computed based on interval volume and isosurface area. This measure represents the rate of change of distance between isosurfaces with respect to isovalue. It can be used to detect representative isovalues of the dataset since two isosurfaces near material boundaries tend to be much closer to each other than two isosurfaces in material interiors, assuming they have the same isovalue difference. For the same isosurface, some portion of it may pass through the boundary of two materials and some portion of it may pass through the interior of a material. To separate the portions of an isosurface that represent different features of the dataset, another novel isosurface measure is introduced. This measure is calculated based on the Euclidean distance of individual sample points on two isosurfaces. The effectiveness of the two new measures in detecting significant isovalues and segmenting isosurfaces are demonstrated in the paper.

中文翻译:

使用新型等值面测量的代表性等值检测和等值面分割

区间体积是两个等值面之间区域的体积。本文提出了一种新的度量,称为 VOA 度量,它是基于区间体积和等值面面积计算的。该度量表示等值面之间的距离相对于等值的变化率。它可用于检测数据集的代表性等值,因为材料边界附近的两个等值面往往比材料内部的两个等值面彼此更接近,假设它们具有相同的等值差异。对于同一个等值面,它的一部分可能穿过两种材料的边界,而另一部分可能穿过材料的内部。为了分离代表数据集不同特征的等值面部分,引入了另一种新的等值面测量。该度量是根据两个等值面上各个采样点的欧几里德距离计算得出的。论文中证明了这两种新措施在检测显着等值和分割等值面方面的有效性。
更新日期:2020-06-01
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