Contour trees have been developed to visualize or encode scalar data in imaging technologies and scientific simulations. Contours are defined on a continuous scalar field. For discrete data, a continuous function is first interpolated, where contours are then defined. In this paper we define a discrete contour tree, called the iso-tree, on a scalar graph, and discuss its properties. We show that the iso-tree model works for data of all dimensions, and develop an axiomatic system formalizing the discrete contour structures. We also report an isomorphism between iso-trees and augmented contour trees, showing that contour tree algorithms can be used to compute discrete contour trees, and vice versa.
翻译:孔图树已开发成可视化或编码成成像技术和科学模拟中的星标数据。 轮廓是在连续的星标字段上定义的。 对于离散数据, 连续函数先是内插的, 然后是轮廓定义 。 在本文中, 我们定义了离散的等深线树, 叫做异谷树, 放在一个星标图上, 并讨论其属性 。 我们显示的是, 异谷树模型可以用于所有维度的数据, 并开发出一种将离散的等深结构正规化的不言理系统 。 对于离散的星座结构, 我们还报告了异谷树与增强的等深线树之间的异形态, 表明等深树算法可以用来计算离散的等深线树, 反之亦然。