US 11,756,208 B2
Digital image boundary detection
Brian Lynn Price, Pleasant Grove, UT (US); Peng Zhou, College Park, MD (US); Scott David Cohen, Cupertino, CA (US); and Gregg Darryl Wilensky, New York, NY (US)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Dec. 7, 2021, as Appl. No. 17/544,048.
Application 17/544,048 is a continuation of application No. 16/822,853, filed on Mar. 18, 2020, granted, now 11,244,460.
Prior Publication US 2022/0092790 A1, Mar. 24, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); G06T 7/13 (2017.01)
CPC G06T 7/13 (2017.01) [G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
1. A method comprising:
receiving, by a processing device, image data describing a digital image depicting an object;
generating, by the processing device, a sample image that includes strips of pixels extracted from the digital image based on a contour of the object;
detecting, by the processing device, a boundary of the object by processing the sample image using a machine learning model trained to detect boundaries of objects using training data describing training digital images and ground truth boundaries of objects depicted in the training digital images; and
outputting, by the processing device, a representation of the boundary of the object for display in a user interface.