Figures & data
Figure 1. A schematic representation of the steps involved in extending object-detection algorithm to identify missing boundaries in micrographs. The processing of the micrographs indicates the random removal of the sections of the boundary network to introduce the missing boundaries.
Figure 2. (a) Change in the box and object loss with number of epochs during training and validation of the model. (b) Precision-Recall curve of the model in detecting the missing boundaries.
Figure 3. The ground truth of missing boundaries in multiphase polycrystalline micrographs is compared with the detection of the present model.
Figure 4. Comparison of ground truth and current predictions in grey scale depiction of the three-phase polycrystalline micrographs.
