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Image preprocessing is essential for standardizing road images and enhancing texture details while minimizing the effects of varying lighting conditions. Noise-reduction filters, such as Gaussian or median filters, are first applied to suppress high-frequency noise while preserving important edges. Edge detection techniques are used to highlight key texture features such as aggregates and surface voids. Contrast enhancement, for example, through adaptive histogram equalization, improves feature visibility under different illumination conditions. Finally, normalization and shadow-removal methods address lighting inconsistencies, resulting in a more uniform and reliable representation of the road surface for further analysis. |
IEEE/ICACT20260211 Slide.17
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