uses line profiles to semantically segment an image in 1 Dimension
Note -> this is an initial release. The network requires more data (which will be coming soon) in order to get closer to the truth; as well as not overfit.
Data Acquisition from Line Profiles from the vertical direction through a volume
Transcribe the data down to 1 Dimension
Train the Network (see how to adjust the network structure / dataset to get the best results; the network is set up for semantic segmentation, represented as a unet-style architecture; utilized Keras for quick plug and play)
Network Prediction of Line Profile in 1 Dimension
Using a Point Locator, keep track of the indices and map the predictions back to a 3 Dimensional Volume
2nd Note -> Analysis module will be coming soon.