Method for the autonomous image segmentation of flow systems
US9836849B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 27, 2016 |
| Grant date | Dec 5, 2017 |
| Priority date | — |
| Expiry date | May 1, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.