US 11,983,883 B2
Intensity-based image modification for computer vision
Caleb G. Price, Hazelwood, MO (US); and Jeffrey H. Hunt, El Segundo, CA (US)
Assigned to The Boeing Company, Arlington, VA (US)
Filed by The Boeing Company, Chicago, IL (US)
Filed on Sep. 24, 2021, as Appl. No. 17/448,858.
Claims priority of provisional application 63/125,540, filed on Dec. 15, 2020.
Prior Publication US 2022/0189034 A1, Jun. 16, 2022
Int. Cl. G06T 7/13 (2017.01); B64D 47/08 (2006.01)
CPC G06T 7/13 (2017.01) [B64D 47/08 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/30261 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer vision method performed by a computing system, the method comprising:
receiving a time-based series of images;
for a subject image of the time-based series, identifying a light intensity value for each pixel of a set of pixels of the subject image;
defining a light intensity threshold for the subject image based on a size of a bounding region for an object detected within a previous image of the time-based series captured before the subject image;
wherein the set of pixels of the subject image are located within the bounding region;
generating a modified image for the subject image by one or both of:
reducing the light intensity value of each pixel of a lower intensity subset of pixels of the subject image located within the bounding region that is less than the light intensity threshold, and
increasing the light intensity value of each pixel of a higher intensity subset of pixels of the subject image located within the bounding region that is greater than the light intensity threshold.