US 12,230,044 B2
Segmentation-based image processing for confluency estimation
David Pilutti, Udine (IT); Alison Willian Gomes Dos Santos, Udine (IT); Francesco Armani, Martignacco (IT); and Giacomo Cattaruzzi, Udine (IT)
Assigned to VBC HOLDINGS LLC, Culver City, CA (US)
Filed by VBC HOLDINGS LLC, Culver City, CA (US)
Filed on Jun. 15, 2022, as Appl. No. 17/840,895.
Claims priority of provisional application 63/211,964, filed on Jun. 17, 2021.
Prior Publication US 2022/0406079 A1, Dec. 22, 2022
Int. Cl. G06V 20/69 (2022.01); G06T 5/30 (2006.01); G06T 5/40 (2006.01); G06T 5/70 (2024.01); G06T 5/94 (2024.01); G06T 7/155 (2017.01)
CPC G06V 20/695 (2022.01) [G06T 5/30 (2013.01); G06T 5/40 (2013.01); G06T 5/70 (2024.01); G06T 5/94 (2024.01); G06T 7/155 (2017.01)] 13 Claims
OG exemplary drawing
 
1. A method of operating an apparatus including processing circuitry, the method comprising:
executing, by the processing circuitry, instructions that cause the apparatus to:
1) generate a first segmentation mask by segmenting an image, generate a modified mask by applying a morphological operation to the first segmentation mask, generate a modified masked input based on the image and an inversion of the modified mask, and generate a second segmentation mask by segmenting the modified masked input;
2) combine the first segmentation mask and the second segmentation mask to generate a composite mask, wherein generating the composite mask includes applying a non-cell filter to the composite mask to exclude non-cell areas of the composite mask, and wherein excluding the non-cell areas of the composite mask is based on at least one of a morphology of the non-cell areas and a size of the non-cell areas; and
3) determine a coverage of the image based on the first segmentation mask and the second segmentation mask, wherein determining the coverage of the image includes a) presenting the image masked by the composite mask as an illustration of the coverage of the image and b) estimating a coverage of the composite mask.