Abstract: In order to accurately judge the nature of the defect on solid rocket motor and the possible
damage to the engine, it is needed to observe and analyze problems in the three dimensional space.
However, the defects is usually determined by observing the two-dimensional slice CT image
sequences and judging by subjective analysis of two-dimensional images in traditional defect analysis,
and it requires abundant experience of the user. In order to analyze the defect structure more
accurately and stereoscopically, the solid rocket motor industrial CT 3D volume data is used to extract
defects by using of the combination of morphological and Otsu threshold segmentation method to
segment. The 3D volume data of the defect structure is reconstructed herein. Finally, 3D visualization
tools are used to display the volume data. The experiment results indicate that this method is effective
and accurate to segment and extract the solid rocket motor 3D CT image defects, and it has pretty
strong robustness.

Key words: solid rocket motor, 3D image segmentation, defect extraction, morphological filtering;
3D rebuilding