Cheng et al., 2023 - Google Patents
Embankment crack detection in UAV images based on efficient channel attention U2NetCheng et al., 2023
- Document ID
- 15763419499267528555
- Author
- Cheng H
- Li Y
- Li H
- Hu Q
- Publication year
- Publication venue
- Structures
External Links
Snippet
Rapid and accurate extraction of cracks present on the surface of concrete embankments is an important basis for assessing the structural health of embankments and maintaining structural stability. In this paper, a multimechanism fusion U 2 Net model is proposed for …
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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- G06T2207/20112—Image segmentation details
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- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
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- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/0002—Inspection of images, e.g. flaw detection
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- G06T2207/10032—Satellite or aerial image; Remote sensing
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- G—PHYSICS
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- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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