Invention Application
- Patent Title: AUTOMATED MATERIAL CHARACTERIZATION SYSTEM INCLUDING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
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Application No.: US16549332Application Date: 2019-08-23
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Publication No.: US20190378267A1Publication Date: 2019-12-12
- Inventor: Michael J. Giering , Ryan B. Noraas , Kishore K. Reddy , Edgar A. Bernal
- Applicant: United Technologies Corporation
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/13 ; G06T7/12 ; G06K9/62

Abstract:
A material characterization system includes an imaging unit, a material characterization controller, and an imaging unit controller. The electronic imaging unit generates a test image of a specimen composed of a material. The electronic material characterization controller determines values of a plurality of parameters and maps the parameters to corresponding ground truth labeled outputs. The mapped parameters are applied to at least one test image to predict a presence of at least one target attribute of the specimen in response to applying the learned parameters. The test image is convert to a selected output image format so as to generate a synthetic image including the predicted at least one attribute. The electronic imaging unit controller performs a material characterization analysis that characterizes the material of the specimen based on the predicted at least one attribute included in the synthetic image.
Public/Granted literature
- US10733721B2 Automated material characterization system including conditional generative adversarial networks Public/Granted day:2020-08-04
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