- 专利标题: Automated material characterization system including conditional generative adversarial networks
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申请号: US16549332申请日: 2019-08-23
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公开(公告)号: US10733721B2公开(公告)日: 2020-08-04
- 发明人: Michael J. Giering , Ryan B. Noraas , Kishore K. Reddy , Edgar A. Bernal
- 申请人: United Technologies Corporation
- 申请人地址: US CT Farmington
- 专利权人: RAYTHEON TECHNOLOGIES CORPORATION
- 当前专利权人: RAYTHEON TECHNOLOGIES CORPORATION
- 当前专利权人地址: US CT Farmington
- 代理机构: Cantor Colburn LLP
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; G06T7/13 ; G06T7/12 ; G06K9/62 ; G06K9/34 ; G06T7/174
摘要:
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.
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