Raster image digitization using machine learning techniques
US12400466B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Mar 2, 2021 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Jan 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for digitizing image-based data includes receiving an image file including one or more target objects, generating an intermediate image by removing noise from the image file using a denoising machine learning model, identifying the one or more target objects included in the intermediate image using an object segmentation machine learning model, discretizing the one or more target objects that were identified using the trained object segmentation machine learning model, and storing the one or more target objects that were discretized in a data file, visualizing the one or more target objects, or both.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.