The maintenance of aging civil infrastructure, particularly concrete bridges and pavements, relies heavily on accurate crack detection. Traditional manual inspection is labor-intensive, subjective, and hazardous. Consequently, automated computer vision systems have emerged as a viable alternative. However, these systems frequently struggle with "noisy" environments—surfaces stained with oil, moss, or shadows—leading to erroneous detections.
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