US 12,482,123 B2
Making measurements in images
Rafael Wiemker, Kisdorf (DE); Tom Brosch, Hamburg (DE); Hrishikesh Narayanrao Deshpande, Hamburg (DE); André Goossen, Eldena (DE); Tim Philipp Harder, Ahrensburg (DE); and Axel Saalbach, Hamburg (DE)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 17/785,071
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Dec. 16, 2020, PCT No. PCT/EP2020/086315
§ 371(c)(1), (2) Date Jun. 14, 2022,
PCT Pub. No. WO2021/122666, PCT Pub. Date Jun. 24, 2021.
Claims priority of application No. 19217854 (EP), filed on Dec. 19, 2019.
Prior Publication US 2023/0030618 A1, Feb. 2, 2023
Int. Cl. G06T 7/00 (2017.01); G06F 17/18 (2006.01); G06T 7/11 (2017.01); G06T 7/60 (2017.01); G06T 7/73 (2017.01)
CPC G06T 7/60 (2013.01) [G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A computer implemented method of making a measurement associated with a feature of interest in a image, the method comprising:
using a model trained using a machine learning process to take the image as input and predict a pair of points between which to make the measurement of the feature of interest in the image, wherein the model provides as output one or more confidence maps indicating confidence values associated with different placements of the pair of points; and
determining the measurement, based on the predicted pair of points.