Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

Image driven machine learning methods for microstructure recognition

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Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

A computer vision approach for automated analysis and classification of microstructural image data

(2015) Brian L. DeCost et al.   COMPUTATIONAL MATERIALS SCIENCE

The Application of Powder Rheology in Additive Manufacturing

(2015) Jamie Clayton et al.   JOM

Characterization and Control of Powder Properties for Additive Manufacturing

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Recyclability Study on Inconel 718 and Ti-6Al-4V Powders for Use in Electron Beam Melting

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Deep learning

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Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Metal Additive Manufacturing: A Review

(2014) William E. Frazier   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

Characterization of Metal Powders Used for Additive Manufacturing

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Laser additive manufacturing of metallic components: materials, processes and mechanisms

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NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS

A comprehensive review of current local features for computer vision

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