Abstract
Nowadays, a huge volume datasets has been generated from numerical simulations and measurement equipments. However the classification and reference has been usually performed manually, such as vision or experience of a measurement engineer. There still has not been revealed efficient techniques for searching similarity between volumetric datasets.
On the other hand, some techniques for expressing the structure of the volume data in a simple figure are proposed. In this report, Critical Point Graphs and Contour Trees are used as a key to the similar level judgment from among those techniques. A similar level is judged to some data, and the merit and the weak point of each technique are clarified.
