Presentation + Paper
18 April 2023 A novel directional lighting algorithm for concrete crack pixel-level segmentation
Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada, Gordon Dobie
Author Affiliations +
Abstract
External lighting is required for autonomous inspections of concrete structures in low-light environments; however, previous studies have only considered uniformly diffused lighting to illuminate images. This study proposes a novel algorithm that utilises angled and directional lighting to obtain pixel-level segmentation of concrete cracks. The method applies a concrete crack detection algorithm to separate images, each illuminated with lighting from a different direction. Using a bitwise OR operation, the findings from all images are combined; the resulting image highlights the extremities of any present cracks in all lighting directions. When tested on a dataset of cracks ranging in widths from 0.07 mm to 0.3 mm, the algorithm obtained recall, precision and F1 score results of 77%, 84% and 92%, respectively. The algorithm was able to correctly segment cracks that were deemed too thin for similar diffused lighting segmentation methods found in literature. The proposed directional lighting algorithm has the potential to improve concrete inspections in low-light environments.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada, and Gordon Dobie "A novel directional lighting algorithm for concrete crack pixel-level segmentation", Proc. SPIE 12486, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, 124861L (18 April 2023); https://doi.org/10.1117/12.2657235
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KEYWORDS
Light sources and illumination

Image segmentation

Image processing algorithms and systems

Image processing

Detection and tracking algorithms

Inspection

Defect detection

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