在可视化技术中，人们常试图从3维图像中抽取特定的等值面，以近似表示3维图像中所包含目标的边界曲面。考虑到实际的3维图像中，某些目标的边界曲面可以被特定的等值面很好地逼近，但是由于许多目标的边界曲面事实上难以被任何等值面很好地逼近，因此，识别3维图像中哪些边界曲面可以被特定的等值面很好地逼近就成为可视化技术中一个非常重要的研究问题。为了准确地判定哪些边界曲面可以被特定的等值面很好地逼近，特提供了一个有效的判定方法。该方法首先计算紧密地分布于连续隐边界曲面两侧的目标网格点，然后判定计算得到的目标网格点集合与背景网格点集合可否在误分很小的情况被某些等值面分离开来。实验结果表明，该判定方法是可行有效的。

To visualize 3D images, people usually attempt to extract certain isosurfaces from 3D images to represent approximately boundary surfaces of some structures within these 3D images. Considering that some boundary surfaces could be well approximated by certain isosurfaces, but many boundary surfaces within 3D images actually cannot be well approximated by any isosurface, it becomes an important problem to distinguish which boundary surface in 3D images could be well approximated by certain isosurfaces. In this paper, we address this issue and provide a practical and effective method solve the problem.