US 11,748,865 B2
Hierarchical image decomposition for defect detection
Florian Michael Scheidegger, Dietlikon (CH); and Adelmo Cristiano Innocenza Malossi, Schonenberg (CH)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 7, 2020, as Appl. No. 17/113,672.
Prior Publication US 2022/0180497 A1, Jun. 9, 2022
Int. Cl. G06T 7/00 (2017.01); G06T 3/40 (2006.01)
CPC G06T 7/0004 (2013.01) [G06T 3/40 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by one or more processors, a high-resolution image;
decomposing, by one or more processors, the received image into hierarchically organized layers of images, wherein each layer comprises at least one image tile of the received image, and wherein each of the image tiles have a corresponding resolution suitable to a baseline image recognition algorithm;
applying, by one or more processors, the baseline algorithm to each of the image tiles of each layer; and
performing, by one or more processors, a result aggregation of results of the baseline algorithm applications to the image tiles of the layers, wherein performing the result aggregation of results of the baseline algorithm applications to the image tiles of the layers comprises:
aggregating, by one or more processors, results of the baseline algorithm per layer,
performing, by one or more processors, a pairwise layer comparison of results of the baseline algorithm to adjacent pairwise layers, and
performing, by one or more processors, a hierarchical aggregation of the baseline algorithm results depending on the pairwise layer comparison.