Patents by Inventor Ru Yang

Ru Yang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Image correlation for end-to-end displacement and strain measurement
    Patent number: 12540815
    Abstract: A system for correlating image data includes a memory configured to store a sequence of images of a sample. The system also includes a processor operatively coupled to the memory and configured to crop a first pair of images to specify a region of interest in the first pair of images, where at least one image in the pair of images is from the sequence of images. The processor is also configured to calculate, using a first convolutional neural network, a displacement field for the first pair of images. The processor is also configured to calculate, using a second convolutional neural network, a strain field for the first pair of images. The processor is further configured to determine an amount of displacement or deformation of the sample based at least in part on the displacement field and the strain field.
    Type: Grant
    Filed: September 26, 2022
    Date of Patent: February 3, 2026
    Assignee: Northwestern University
    Inventors: Ping Guo, Ru Yang
  • IMAGE CORRELATION FOR END-TO-END DISPLACEMENT AND STRAIN MEASUREMENT
    Publication number: 20230099872
    Abstract: A system for correlating image data includes a memory configured to store a sequence of images of a sample. The system also includes a processor operatively coupled to the memory and configured to crop a first pair of images to specify a region of interest in the first pair of images, where at least one image in the pair of images is from the sequence of images. The processor is also configured to calculate, using a first convolutional neural network, a displacement field for the first pair of images. The processor is also configured to calculate, using a second convolutional neural network, a strain field for the first pair of images. The processor is further configured to determine an amount of displacement or deformation of the sample based at least in part on the displacement field and the strain field.
    Type: Application
    Filed: September 26, 2022
    Publication date: March 30, 2023
    Inventors: Ping Guo, Ru Yang