Patent ID: 11908118
Assignee: CITIC DICASTAL CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for analyzing images of material characterization, wherein it comprises the following steps:
collect and mark samples of material characterization images to establish an image data set of material characterization, wherein the said image data set of material characterization comprises a first data set composed of first material characterization images marked with atomic species and crystal structure parameters, and a second data set composed of second material characterization images marked with edges and center points of microscopic particles and a third data set composed of third material characterization images marked with microstructure features;
establish an initial neural network model, and use the image data set of material characterization to train it to obtain a neural network model based on deep learning; and establish a dynamic statistical model;
input the characterization image of the material to be analyzed into the deep learning-based neural network model, and identify and analyze the output results, complete atom identification and interplanar spacing annotation, microscopic particle morphology statistics; and
input the third data set or output data of the deep learning-based neural network model into the dynamic statistical model to complete tracking of microstructure motion trajectory.