Semi-Automatic Approach for Parts Segmentation of CT Scanned Assembled Car

In recent years, large-scale X-ray CT scanners have made it possible to perform CT scans on objects which are the size of automobiles. The resulting CT volume can be utilized for reverse engineering. However, handling them is difficult due to their large data sizes. Furthermore, the segmentation required for reverse engineering is currently performed manually by experts, which is time-consuming. In this study, we propose a semi-automatic method for parts segmentation of the CT scanned assembled car. The method involves automatically segmenting the CT scanned assembled car by thickness and material and then allowing the user to manually select from the automatically segmented parts. The segmentation based on thickness is carried out by the disappearing thin objects when the isosurface is offset. The segmentation based on material is performed by referencing CT values of the input CT volume. As a result, the parts composed of iron and aluminum, such as motors, were properly segmented.