US 12,456,184 B2
Use of an HDR image in a visual inspection process
Yonatan Hyatt, Tel-Aviv (IL)
Assigned to Siemens Aktiengesellschaft, Munich (DE)
Appl. No. 17/610,454
Filed by Siemens Aktiengesellschaft, Munich (DE)
PCT Filed Jul. 30, 2020, PCT No. PCT/IL2020/050842
§ 371(c)(1), (2) Date Nov. 11, 2021,
PCT Pub. No. WO2021/024249, PCT Pub. Date Feb. 11, 2021.
Claims priority of provisional application 62/884,216, filed on Aug. 8, 2019.
Claims priority of application No. 268612 (IL), filed on Aug. 8, 2019.
Prior Publication US 2022/0318984 A1, Oct. 6, 2022
Int. Cl. G06T 7/00 (2017.01); G06T 5/50 (2006.01); G06T 5/92 (2024.01); G06V 10/22 (2022.01); G06V 10/25 (2022.01)
CPC G06T 7/0004 (2013.01) [G06T 5/50 (2013.01); G06T 5/92 (2024.01); G06V 10/235 (2022.01); G06V 10/25 (2022.01); G06T 2207/10144 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/20208 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30168 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for machine vision image processing, the method comprising:
obtaining a plurality of images of a scene from a camera having a dynamic range, each image having a different exposure value;
detecting pixels associated with an object in each of the plurality of images of the scene;
comparing pixel values of pixels associated with the object to identify a portion of each image having pixel values which are closest to a middle of the dynamic range of the camera to obtain a minimal number of optimal images;
combining the minimal number of optimal images to obtain an HDR image of the scene;
determining an exposure level Eopt which enables a highest level of information of the object;
capturing an image of the object at Eopt; and
detecting the object in the image captured at Eopt;
wherein the minimal number of optimal images combined to obtain the HDR image includes the image captured at Eopt.