Patents by Inventor Jacob J. Panikulam

Jacob J. Panikulam 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).

  • Method for the autonomous image segmentation of flow systems
    Patent number: 9836849
    Abstract: Disclosed herein is a method that comprises obtaining an image of a network section through which flow occurs; where the flow is selected from a group consisting of fluid, electrons, protons, neutrons and holes; subjecting the image to a low pass filter to increase contrast in portions of the network sections; computing a local mean of visible light intensity at each pixel that is present in the image; calculating a visible light intensity difference between each pixel and the local mean of visible light intensity and producing a differentiated image using this calculation; creating a base image of the differentiated image; where the base image comprises a hand segmented gold standard dataset; removing objects below a minimum threshold size from the base image; and retaining the remaining objects if they approximate the line or spine.
    Type: Grant
    Filed: January 27, 2016
    Date of Patent: December 5, 2017
    Assignee: University of Florida Research Foundation, Inc.
    Inventors: Daniel John Dickrell, III, Jacob J. Panikulam
  • METHOD FOR THE AUTONOMOUS IMAGE SEGMENTATION OF FLOW SYSTEMS
    Publication number: 20160217586
    Abstract: Disclosed herein is a method that comprises obtaining an image of a network section through which flow occurs; where the flow is selected from a group consisting of fluid, electrons, protons, neutrons and holes; subjecting the image to a low pass filter to increase contrast in portions of the network sections; computing a local mean of visible light intensity at each pixel that is present in the image; calculating a visible light intensity difference between each pixel and the local mean of visible light intensity and producing a differentiated image using this calculation; creating a base image of the differentiated image; where the base image comprises a hand segmented gold standard dataset; removing objects below a minimum threshold size from the base image; and retaining the remaining objects if they approximate the line or spine.
    Type: Application
    Filed: January 27, 2016
    Publication date: July 28, 2016
    Inventors: Daniel John Dickrell, III, Jacob J. Panikulam