| US 11,790,530 B2 | ||
| System for processing an image relating to a histological tissue | ||
| Filippo Molinari, Turin (IT); Massimo Salvi, Turin (IT); and Nicola Michielli, Turin (IT) | ||
| Assigned to POLITECNICO DI TORINO, Turin (IT) | ||
| Appl. No. 17/911,433 | ||
| Filed by POLITECNICO DI TORINO, Turin (IT) | ||
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PCT Filed Mar. 15, 2021, PCT No. PCT/IB2021/052119 § 371(c)(1), (2) Date Sep. 14, 2022, PCT Pub. No. WO2021/191723, PCT Pub. Date Sep. 30, 2021. |
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| Claims priority of application No. 102020000006148 (IT), filed on Mar. 24, 2020. | ||
| Prior Publication US 2023/0113608 A1, Apr. 13, 2023 | ||
| Int. Cl. G06T 7/11 (2017.01); G06T 7/90 (2017.01) | ||
| CPC G06T 7/11 (2017.01) [G06T 7/90 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/30024 (2013.01)] | 16 Claims |
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1. A method for processing a digital image relating to a histological tissue that has been stained with one or more colors to vary a staining color of the digital image by forcing it towards a “target average color” that is an average of the same staining color of a digital reference image, the method includes the following steps:
Step 1: calculation of a “comparison color” of the staining color of the digital image,
Step 2: determination of an area consisting of pixels in the digital image that have a color within a first threshold of the “comparison color”,
Step 3: calculation of an “average color” of the area,
Step 4: if this “average color” is within a second threshold of the “comparison color”, then calculation and application of a correction factor for each pixel of the digital image based on the comparison of the color of said each pixel with the “target average color” of the digital reference image,
Step 5: otherwise, the “average color” becomes the “comparison color” and restarts from Step 2.
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