DualSight: multi-stage instance segmentation framework for improved precision.

ABSTRACT: Powder properties, particularly their morphology (which includes size, shape, surface roughness, etc.), play a critical role in the quality of cold spray additively manufactured materials. A change in feedstock powder morphology can impact flowability and deposition quality, deposition efficiency, and porosity. Image analysis can be used to quantify a powder's morphology, but performing this analysis with manual visual inspection can be laborious and time-consuming. Alternatively, computer vision techniques have shown promise in automating powder morphology analysis, reducing the work and time required to quantify a powder's morphology. However, the capabilities of these models are limited to the quality of their training data, which can be equally difficult and expensive to collect and an

SUBMITTER: Price S 

PROVIDER: S-EPMC12304392 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature