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AI-Guided Feature Segmentation Techniques to Model Features from Single Crystal Diamond Growth
This paper compares various traditional and machine learning-driven approaches for feature extraction in the diamond growth domain, proposing a novel deep learning-driven semantic segmentation approach to isolate and classify accurate pixel masks of geometric features like diamond, pocket holder, and background, along with their derivative features based on shape and size.
AI-Guided Defect Detection Techniques to Model Single Crystal Diamond Growth
This paper details seminal work on defect segmentation pipeline using in-situ optical images to identify features that indicate defective states that are visible at the macroscale.
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