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7 March 2024 An improved watershed foreign object detection of road surface based on adaptive Gaussian threshold
Yongjie Liang, Keyun Tian
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Proceedings Volume 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 130880L (2024) https://doi.org/10.1117/12.3000780
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China
Abstract
To a certain extent, foreign objects on road surfaces can cause damage to vehicles and increase the risk of accidents, which is even more immeasurably harmful in such special scenarios as airports. Effective detection of foreign objects on road surfaces is of great significance to airport flight safety and road safety maintenance. Due to the traditional watershed segmentation method in the recognition of foreign objects, there are obvious over-segmentation, noise complexity and so on. Therefore, this paper proposes an improved watershed segmentation method based on Lab-color space using image filtering techniques and morphological operations to initially separate the image foreground and background, combined with Adaptive Gaussian thresholding, labeling method for detection. This effectively solves the problem of over-segmentation, can better suppress image noise, and accurately detects foreign objects on road surfaces.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yongjie Liang and Keyun Tian "An improved watershed foreign object detection of road surface based on adaptive Gaussian threshold", Proc. SPIE 13088, MIPPR 2023: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 130880L (7 March 2024); https://doi.org/10.1117/12.3000780
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KEYWORDS
Image segmentation
Image processing
Object detection
RGB color model
Gaussian filters
Image filtering
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