Invention Grant
- Patent Title: Hierarchical image decomposition for defect detection
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Application No.: US17113672Application Date: 2020-12-07
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Publication No.: US11748865B2Publication Date: 2023-09-05
- Inventor: Florian Michael Scheidegger , Adelmo Cristiano Innocenza Malossi
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Daniel R. Simek; Jared L. Montanaro
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T3/40

Abstract:
Aspects of the present invention disclose a method, computer program product, and system for improving object detection in high-resolution images at inference time. The method includes one or more processors receiving a high-resolution image. The method further includes one or more processors decomposing the received image into hierarchically organized layers of images. Each layer comprises at least one image tile of the received image. Each of the image tiles have a corresponding resolution suitable to a baseline image recognition algorithm. The method further includes one or more processors applying the baseline algorithm to each of the image tiles of each layer. The method further includes one or more processors performing a result aggregation of results of the baseline algorithm applications to the image tiles of the layers.
Public/Granted literature
- US20220180497A1 HIERARCHICAL IMAGE DECOMPOSITION FOR DEFECT DETECTION Public/Granted day:2022-06-09
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