The automated segmentation and enhancement of cracks on airport pavements using three-dimensional imaging techniques

Shanshan Zhai; Yanna Xu

doi:10.1117/12.3014473

9 January 2024 The automated segmentation and enhancement of cracks on airport pavements using three-dimensional imaging techniques

Shanshan Zhai, Yanna Xu

Author Affiliations +

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129691H (2024) https://doi.org/10.1117/12.3014473
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

Based on 3D images, this study aims to explore automatic segmentation and enhancement methods for airfield runway surface cracks. Firstly, a typical 2D Gaussian filter is used to remove noise from the road surface data. Then, Steerable Matched Filter (SMFB) is introduced to extract crack features. By constructing a set of 52 SMFB filters with different parameters, we are able to accurately capture cracks with different directions and sizes. After that, Tensor Voting (TV) technique is introduced to further enhance the continuity of the cracks. With this method, we are able to detect and segment the cracks in the airfield runway surface for a more accurate and comprehensive analysis. The experimental results show that the proposed method performs well in crack detection and segmentation, providing strong support for airport pavement maintenance and management.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shanshan Zhai and Yanna Xu "The automated segmentation and enhancement of cracks on airport pavements using three-dimensional imaging techniques", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129691H (9 January 2024); https://doi.org/10.1117/12.3014473

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KEYWORDS

Image segmentation

Tunable filters

3D image processing

3D image enhancement

Gaussian filters

Image processing

Noise cancelling

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