Cracks and cavities segmentation in CT data
This recipe is useful in segmenting data with cracks/pores and cavities.
The cracks/pores and cavities in a CT data always have similar gray value with the background. It is especially difficulty to segment the cavities. The recipe provides the methods segmenting cavities as well as enhancing the low resolutions cracks.
Step 1: binary the whole data
Step 2: enhance low resolution cracks
Step 3: binary cracks and cavities
Step 4: subtract cracks and cavities from the whole data
Step 5: compute an ambient occlusion scalar field
Step 6: binary the cracks and cavities
About the data:
The data used in the workflow is a battery particle after charging, with lots of cracks. The recipe guided workflow will segment the cracks inner and on extend to the surface of the battery particle.
Data courtesy by Dr. Kai Zhang, Institute of High Energy Physics, Chinese Academy of Sciences.