US 2019/0096056 A1 · AUTOMATED MATERIAL CHARACTERIZATION SYSTEM INCLUDING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS

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.

Claims20

Dependent claims

A material characterization system comprising:

an electronic imaging unit configured to generate at least one test input image of a specimen composed of a material;
an electronic material characterization controller configured to determine values of a plurality of functional parameters that specify a functional mapping, to map the at least one test input image of the specimen to at least one output image based on the functional mapping specified by the determined parameters, to predict a presence of at least one target attribute of the specimen in response to applying the functional mapping and analyzing the at least one output image, and to convert the at least one output image to a selected output image format so as to generate a synthetic image including the predicted at least one attribute;
and
an electronic imaging unit controller configured to perform a material characterization analysis that characterizes the material of the specimen based on the predicted at least one attribute included in the synthetic image.

1 more element

A method of characterizing a material of a specimen, the method comprising:

generating, via an electronic imaging unit, at least one test image of the specimen;
determining values of a functional plurality of parameters that specify a functional mapping, and mapping the at least one test input image of the specimen to at least one output image based on the functional mapping specified by the determined parameters;
predicting, via an electronic material characterization controller, a presence of at least one target attribute of the specimen in response to applying the functional mapping specified by the determined parameters to analyze the at least one output image;
and
converting, via the electronic material characterization controller, the at least one output image to a selected output image format so as to generate a synthetic image that includes the predicted at least one attribute;
performing, via the electronic imaging unit controller, a material characterization analysis that determines at least one physical characterization of the material of the specimen based on the predicted at least one attribute included in the synthetic image;
generating, via the electronic imaging unit controller, characterized image data based on the fused synthetic image and the material characterization analysis;
and
displaying, via a display unit, a characterized image based on the characterized image data, the characterized image including a graphical indicator indicating the at least one physical characterization.

6 more elements

Dependencies are inferred from the claim text.

Automated material characterization system including conditional generative adversarial networks

Life of this patent

Automated material characterization system including conditional generative adversarial networks

Life of this patent

Abstract

Claims20