Optical implementation of machine learning for real time increased contrast via multiple wavelength illumination with tunable power
US10445607B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2017 |
| Grant date | Oct 15, 2019 |
| Priority date | — |
| Expiry date | Nov 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/194
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object. A set of optimal illumination intensities for one or more spectral illumination sources of the imaging system is determined based on the extracted classification vector. The first and second objects are illuminated with the determined illumination intensities. A high-contrast image of the first and second objects is provided for display, such that the two objects can be readily distinguished in the image. The intensity of pixels in the image is determined by the illumination intensities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.